Model Jobs in Saudi
5321 Jobs Found
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</span><p><span><span><strong>Visual Merchendiser </strong></span></span></p><br>
<p><span><span><strong><strong> PURPOSE & OVERALL Relevance for the Organization </strong></strong></span></span></p><br>
<p><span><span>Contribute to store profitability by:Meeting or exceeding sales and KPI targets within the store through flawless visual merchandisingCoordinating team members to provide a leading shopping experienceAssuming Store Manager </span></span></p><br>
<p><span><span> responsibilities in the absence of the Store Manager and Store Supervisor</span></span></p><br>
<p><span><span><strong><strong>KEY RESPONSIBILITES</strong></strong></span></span></p><br>
<p><span><span>.Monitor and analyze performance data and make any necessary adjustments to drive commercial success, primarily within VMAllocate resources and organize processes, primarily within visual merchandising, to drive efficiency and productivity in a variety of situations, including maintenance and layout of existing stores, floor plans and changes, In-store Communication, reporting, and controlling costsDrive product presentation and best practice within visual merchandising for a meaningful consumer experience, from sell-in to sell[1]throughBe a role model for customer service and meeting or exceeding customers’ expectationsSupervise and support the team to ensure all customers receive an optimal service level at all times¬Lead your team to meet or exceed customer expectations at all timesBe a Brand Ambassador, consistently exhibiting the Brand Attitude and ValuesUse advanced Category expertise to drive sales and customer loyalty in your assigned areaLead training for visual merchandising techniques and guidelines to follow marketing concepts and brand campaigns while supporting all team Foundational and Seasonal Brand and product knowledge trainingLead and coordinate team members to consistently execute and maintain established Visual Merchandising and In-Store Communication standards as per global guidelines and local directives, including placement and focus on key articles and ensuring alignment with given Buying and Merchandising timelinesManage merchandise delivery processing on the same day it arrivesKeep an organized stockroom and direct sales floor replenishment to ensure the store’s complete product offer is immediately available and easily accessible to customers on a consistent basisExecute all applicable loss prevention proceduresMaintain a safe and productive shopping and working environmentSupport the recruitment, onboarding, training, coaching and motivation of store team members to maximize their performanceShare best practices to drive the overall store team performance and market Visual Merchandising strategy and implementationSupport’s market Visual Merchandising strategy through coaching and supporting Visual Merchandising ChampionsComplete all applicable training programs and effectively apply the learning on the jobSeek coaching and learning opportunities to continually improve your performance</span></span></p><br>
<p><strong>KEY RELATIONSHIPS </strong></p><br>
<p><span><span>CustomersPeers and SupervisorVM back office, Trade Marketing back office, Retail back office</span></span></p><br>
<p><strong>REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS </strong></p><br>
<p><span><span>Minimum 12 months work experience in a sports/fashion customer- and commercial-focused retail environment with advanced selling experience and comprehensive product, retail and industry understanding, [as well as with first supervisor experience]Intermediate numeracy and literacy and advanced verbal communication skills</span></span></p><br>
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Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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Bachelor's degree / higher diploma </div>
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<p>Production Technician Building Industry: Tyre Manufacturing Experience: 7 10 years Age: 25 35 years Qualification: Diploma in Mechanical / Production / Automobile / Electrical / Mechatronics or relevant technical discipline Job Summary We are looking for an experienced Production Technician Building with hands-on experience in tyre building operations and tyre building machinery. Key Responsibilities Operate and monitor tyre building machines. Assemble tyre components according to production specifications. Ensure correct positioning and application of tyre components. Monitor machine parameters and production quality. Perform machine setup and changeover activities. Conduct in-process quality checks. Identify building defects and process abnormalities. Maintain production and quality records. Coordinate with Quality, Maintenance and Production teams. Follow SOPs, safety, PPE, 5S and housekeeping standards. Required Machine Experience VMI 249 Tyre Building Machine VMI tyre building equipment Important: Specific VMI 249 experience is strongly preferred. General VMI experience should not be treated as an exact match unless the candidate can confirm experience on the relevant model.</p><p><strong>Desired Candidate Profile</strong></p><p>Diploma in Mechanical / Production / Automobile / Electrical / Mechatronics or relevant technical discipline</p>
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<p><b>About Four Seasons:</b></p><br><br><p>Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.<br>At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.</p><br><br><br><br><p><b>About the location:</b></p><br><br>Soon to be one of the region’s foremost luxury beachside destinations, The Red Sea will comprise of the idyllic natural islands and lagoons across 200 kms of coastline along the western coast of the Kingdom of Saudi Arabia, between the cities of Umluj and Al Wajh. The new Four Seasons Resort will be located on Shura Island, the hub of the development and home to a yacht marina, leisure and lifestyle facilities, retail offerings, 18-hole golf course and more. The Red Sea destination is being built with sustainable practices and tourism at its core, with the masterplan being informed by an impressive marine spatial planning simulation to model the environmental impact of development and operations to minimize over-tourism while providing guests with an exceptional travel and lifestyle experience. The destination will also rely on renewable energy and will only develop a small portion of the islands with expansive dedicated conservation zones. The new Four Seasons Resort will offer approximately 149 rooms and suites, all with uninterrupted views over white sand beaches and crystal-clear waters. The property will also feature six restaurant and lounge outlets, meeting and events spaces, a marine discovery centre, Kids for All Seasons space and much more. Whether looking for rest and relaxation or sport and water activities, there will be something for everyone, including a full-service spa with a hammam, tennis courts, three outdoor pools with cabanas, and two separate beaches for families and adults perfect for soaking in the sun or diving down to explore the coral reefs.<br><br><p><b><u><span>The Role of the Spa Therapist :</span></u></b></p><br><br><p>Spa Therapist is responsible for providing spa treatments to guests of the Spa, ensuring all guests experience pure peace and relaxation and describing our Spa Treatment Menu. Other responsibilities making recommendations to our guests for treatments and home care products, ensuring treatment rooms are well-stocked and thoroughly cleaned and sanitized after treatments.</p><br><br><br><p><b><u><span>Knowledge and Skills:</span></u></b></p><br><br><br><ul><li>2 to 3 years of relevant experience in Spa therapy</li><li>Passed O-levels.</li><li>Possesses excellent English, math and psychometric abilities.</li><li>Possesses aptitude and upward mobility.</li><li>Technical education in physiotherapy, massage or holistic treatments is preferred.</li><li>Willing to conduct cross gender treatments.</li><li>Able to conduct Yoga classes.</li></ul><br><br><b><u><span>What to Expect: </span></u></b><br><p>Competitive basic salary and travel allowance in a Tax-Free Environment</p><br><br><p>housing is provided</p><br><br><p>Transportation is provided</p><br><br><p>30 days’ vacation</p><br><br><p>10 days of Public Holidays per year</p><br><br><p>Paid home leave tickets.</p><br><br><p>Complimentary employee meals</p><br><br><p>Medical Insurance</p><br><br><p>Life Insurance</p><br><br><p>Employee Assistance Program</p><br><br><p>Worldwide Complimentary Room Nights with Four Seasons</p><br><br><p>Laundry/dry cleaning for provided for work attire.</p><br><br><p>Growth & Development opportunities</p><br><br><br><br><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
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<p>Support the implementation of BIM processes and standards across the project. Develop, coordinate, review, and maintain multidisciplinary BIM models. Ensure BIM deliverables comply with the approved BIM Execution Plan (BEP), EIR, project standards, and information requirements. Review BIM models for accuracy, completeness, consistency, and compliance. Coordinate models from different disciplines and identify potential design and construction conflicts. Perform multidisciplinary model federation and clash detection. Review and manage clash detection reports and coordinate resolution with relevant disciplines. Coordinate with Design Consultants, Contractors, and Engineering teams to resolve BIM-related issues. Support development and maintenance of BIM workflows, standards, templates, libraries, and project content. Maintain model naming conventions, coordinates, levels, grids, classifications, parameters, and model structures. Ensure correct model versioning and information exchange procedures are followed. Support BIM model audits and quality assurance activities. Monitor Level of Development / Level of Information requirements for project deliverables. Review model information against approved drawings, specifications, and design requirements. Coordinate BIM submissions and ensure deliverables are issued through the approved Common Data Environment (CDE). Support BIM information exchange between project stakeholders. Maintain BIM issue registers, model review logs, clash reports, and coordination records. Provide BIM technical support to engineering and construction teams. Support model-based design reviews and coordination workshops. Participate in BIM coordination meetings and technical workshops. Identify opportunities to improve BIM processes, efficiency, and data quality. Support integration of BIM models with project schedules, cost information, GIS, and asset management systems where required. Assist in developing 4D / 5D BIM applications where applicable. Support digital construction and model-based progress monitoring. Ensure BIM information is properly maintained throughout design, construction, commissioning, and handover. Support preparation of final as-built BIM models and asset information deliverables.</p><p><strong>Airport / Infrastructure & Airfield Responsibilities</strong></p><p>Manage BIM coordination for airport terminals, buildings, airfield facilities, infrastructure, roads, utilities, and external works. Coordinate BIM models for runways, taxiways, aprons, roads, drainage, utilities, and other infrastructure. Support multidisciplinary BIM coordination between architectural, structural, MEP, civil, infrastructure, and specialist aviation systems. Coordinate BIM interfaces between terminal buildings and airfield infrastructure. Support BIM coordination within complex and congested airport environments. Identify spatial conflicts between existing infrastructure, utilities, new construction, and proposed works. Support construction sequencing and access planning using coordinated BIM models. Coordinate BIM requirements for phased construction and operational airport constraints. Support BIM deliverables associated with testing, commissioning, handover, and asset management.</p><p><strong>BIM Model Coordination</strong></p><p>Federate discipline models into coordinated project models. Conduct clash detection using approved BIM coordination platforms. Categorize clashes and assign actions to responsible disciplines. Track clash resolution and verify closure. Coordinate model exchanges between consultants and contractors. Ensure models use the correct project coordinates, shared coordinates, grids, and levels. Monitor model health and identify duplicate, missing, or incorrect information. Ensure model elements are correctly classified and contain required information.</p><p><strong>BIM Quality Assurance</strong></p><p>Conduct regular BIM model audits. Verify compliance with BIM standards and project requirements. Review model geometry, data, naming, parameters, coordinates, and file structure. Monitor compliance with BEP and information delivery requirements. Identify recurring BIM quality issues and recommend corrective actions. Support BIM quality reporting and performance monitoring. Ensure BIM deliverables are suitable for downstream construction and asset management use.</p><p><strong>BIM & Construction Coordination</strong></p><p>Support site teams through BIM-based construction coordination. Provide coordinated models for construction planning and execution. Support identification of constructability issues through model reviews. Coordinate temporary and permanent works within BIM environments where required. Support integration of construction sequencing and installation requirements into BIM models. Coordinate with Planning teams for 4D schedule integration where applicable. Support field teams with model-based technical information and visualization.</p><p><strong>Digital Handover & Asset Information</strong></p><p>Support development of BIM deliverables required for commissioning and handover. Coordinate as-built BIM models with Engineering, Construction, Commissioning, and Asset Management teams. Ensure asset information is complete, accurate, and aligned with project information requirements. Verify required asset parameters and data are incorporated into final models. Support integration of BIM information with CAFM / IWMS / Asset Management systems where required. Ensure final BIM models are properly reviewed, approved, and transferred through the CDE.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's Degree in Architecture, Engineering, Construction, BIM, Information Technology, or a related discipline.</p><p>Minimum 8 years of relevant experience in BIM coordination, BIM management, digital engineering, or multidisciplinary BIM delivery.</p><p>Strong experience working on major construction, infrastructure, airport, or multidisciplinary projects.</p><p>Proven experience coordinating multidisciplinary BIM models throughout design and construction phases.</p><p>Strong proficiency in Autodesk Revit, Navisworks, AutoCAD, Civil 3D , or equivalent BIM platforms.</p><p>Experience with BIM coordination, clash detection, model auditing, and information management.</p><p>Strong understanding of BIM Execution Plans, EIR, CDE, model standards, and information delivery requirements.</p><p>Knowledge of ISO 19650 and BIM information management principles is preferred.</p><p>Experience with 4D / 5D BIM is an advantage.</p><p>Experience with airport / airfield BIM projects is highly desirable.</p><p>Strong understanding of multidisciplinary engineering and construction interfaces.</p><p>Excellent communication, coordination, and problem-solving skills.</p><p><strong>Core Competencies</strong></p><ul><li>BIM Coordination</li><li>BIM Model Management</li><li>Multidisciplinary Coordination</li><li>Clash Detection</li><li>BIM Model Auditing</li><li>BIM Quality Assurance</li><li>Revit</li><li>Navisworks</li><li>Civil 3D</li><li>CDE / Information Management</li><li>BIM Execution Plan</li><li>EIR Compliance</li><li>ISO 19650</li><li>4D / 5D BIM</li><li>Digital Construction</li><li>Design Coordination</li><li>Construction Coordination</li><li>Asset Information</li><li>Digital Handover</li><li>Technical Problem Solving</li></ul>
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<p>I. BIM Model Development and Detailing</p><p>1. Develop, modify and update the interior fit-out BIM model (including hard finishes, fixed furniture, decorative features, MEP terminal integration, etc.) based on construction drawings, design renderings and design requirements, with model detail level reaching LOD 400 and above.</p><p>2. Conduct detailed modeling for ceilings, walls, floors, partitions, trim details and other components, incorporating on-site construction techniques and detailing practices, to ensure the model can directly guide on-site construction.</p><p>3. Responsible for model integration and clash detection between interior discipline and architectural, structural, MEP (plumbing, HVAC, electrical, fire protection), curtain wall, intelligent systems and other disciplines; produce clash reports and coordinate with design teams for optimization.</p><p><br></p><p>II. Construction Implementation Coordination</p><p>4. Apply knowledge of renovation construction sequence and cross-trade interface logic into the model, reflecting the order of work processes and handover conditions of work surfaces; participate in construction simulation and 4D schedule linking.</p><p>5. Produce construction briefing drawings, detail shop drawings, material procurement lists and quantity takeoff reports based on the BIM model, supporting the project team in material estimation, quota-based material control and cost accounting.</p><p>6. Assist in resolving model-related technical issues on site; update the model promptly according to site changes to ensure the model matches actual site conditions (as-built model maintenance).</p><p><br></p><p>III. Cross-Disciplinary Collaboration and Communication</p><p>7. Serve as the interior BIM discipline lead, coordinating with architectural design, structural, MEP, soft furnishing, detailing design, project management and other parties to align model standards, drawing output standards and collaboration protocols.</p><p>8. Participate in drawing reviews, design briefings and site coordination meetings; provide BIM-perspective optimization suggestions on drawing issues from a constructability standpoint, reducing rework and saving costs.</p><p>9. Responsible for organizing, archiving and version control of BIM collaboration files for the interior discipline, maintaining interior discipline data on the project BIM collaboration platform.</p><p><br></p><p>IV. Other Related Work</p><p>10. Participate in the development of the interior discipline section of the project BIM implementation plan; establish discipline-specific modeling standards, component libraries and family libraries.</p><p>11. Support bidding-stage BIM proposal development, animation rendering and rendering output as needed.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>I. Education and Major</p><p>1. Bachelor's degree preferred; majors in Architectural Decoration Engineering Technology, Interior Design, Architectural Engineering Technology, Civil Engineering, or BIM-related fields are preferred.</p><p><br></p><p>II. Work Experience</p><p>2. 3-5 years of BIM modeling experience in interior decoration or fit-out industry; at least 2 complete independent involvement in high-end fit-out projects (hotels, office buildings, commercial complexes are preferred).</p><p>3. On-site renovation construction experience is a plus — understanding of construction techniques and quality acceptance standards for major sub-trades such as carpentry, painting, stone, tile, wall paneling and ceilings.</p><p><br></p><p>III. Professional Skills</p><p>4. Proficient in Revit (interior/architectural) modeling; familiar with at least 2 BIM collaboration software such as Navisworks, Lumion or Enscape, Fuzor.</p><p>5. Familiar with AutoCAD, Photoshop, SketchUp and other design auxiliary software; able to independently convert drawings into models.</p><p>6. Knowledge of common interior decoration materials (stone, wood veneer, metal panels, glass, paint, wallpaper, carpet, vinyl flooring, etc.) including specifications, characteristics, trim methods and construction practices.</p><p>7. Familiar with renovation construction process sequence (base layer → finish layer → trim → installation → cleaning); understanding of cross-discipline interface logic and finished product protection requirements.</p><p>8. Understanding of bill of quantities pricing standards; able to output accurate material quantities and engineering quantities based on the model.</p><p><br></p><p>IV. Comprehensive Qualities</p><p>9. Good cross-disciplinary communication and coordination skills; able to clearly articulate technical issues and drive multi-party alignment.</p><p>10. Meticulous and responsible; strong drawing comprehension and spatial visualization; proactive in identifying issues and proposing optimization suggestions.</p><p>11. Good teamwork awareness and ability to work under pressure; able to adjust work pace according to project schedule.</p></div>
<p><span >What you'll be doing</span></p><p>Our Store Manager is responsible for driving the store business. They work towards achieving the store sales target, build a base of loyal VIP customers by recruiting and retaining them, manage the team and ensure full adherence to the brand s guidelines and stores processes.</p><p>Drive the Business</p><ul><li>Lead by example and represent the brand by communicating its values and philosophy though all activates and interactions with customer and other team members.</li><li>Define, execute and monitor the store action plan to achieve sales targets and KPI's.</li><li>Manage the customer database to build strong relationship with customers and create future potential selling opportunities.</li><li>Stay ahead of latest trends, products and competitors and share feedback with relevant stakeholders in the back-office team.</li><li>Think hybrid by leveraging all type of point of sales online and offline.</li></ul><p>Team Leadership and Development.</p><ul><li>Provide a clear vision to the team about the business and store's vision and key directions.</li><li>Identify, recruit, develop and retain strong talents.</li><li>Create a positive work environment based on trust, respect and fairness and be the voice of the employees when needed by sharing any of their feedback, challenges and concerns with the leadership and HR teams.</li><li>Act as a coach for the team members and promote growth mindset by leveraging the Group's available learning tools and platforms an constantly monitor the team's development plans and professional growth.</li><li>Ensure performance improvement plans are discussed and documented in a transparent manner.</li></ul><p>Customer Experience.</p><ul><li>Develop the omnichannel mindset among the team by constantly promoting the different touchpoints of the customer experience (physical and digital), the clienteling approach and techniques with a focus on VIP's, leveraging customer data to proactively catering to their needs and preferences, the brand's ecommerce business including different activities, offerings, activations, etc.</li><li>Recruit new clients and convert them into loyal VIP customers by providing them with an excellent experience and constantly networking with them.</li></ul><p>Operational Excellence.</p><ul><li>Ensure all sales and operational policies and procedures are followed and maintained in the store.</li><li>Ensure e-commerce orders are prepared within the set SLAs in terms of time and quality and no fulfillment action is pending in the store.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>What you'll need to succeed - Team Leadership: Experience in managing and developing a sales team - Business Acumen: Demonstrated success in meeting or exceeding sales targets - Clienteling Expertise: Proven ability to manage and expand a client book using CRM tools -Communication & Language Skills - Mandatory: Fluency in English -Styling & Product Knowledge - In-depth understanding of luxury fashion trends, materials, and craftsmanship. - Ability to provide expert styling advice and personalized wardrobe curation.</p>
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• To manage and develop the team in order to achieve high levels of revenue, whilst maintaining brand image, operational compliance and customer satisfaction<br><p><span>At Al Tayer Insignia, your career is more than a job — it’s a journey into the heart of luxury retail. For over 40 years, we’ve partnered with the world’s most iconic brands, creating award-winning retail experiences across our boutiques, department stores, and leading online platforms. With stores and outlets across the GCC and a truly seamless omnichannel presence, we bring style, innovation, and heritage together. Here, you’ll join a diverse, customer obsessed, passionate team that celebrates creativity, values individuality, and empowers you to grow. Join us on our journey, reimagining fashion and redefining the meaning of luxury in the region.</span></p><br><br>Responsibilities:<br>Functional Roles and Responsibilities<br>• Drive sales, monitor performance and identify commercial opportunities and make recommendations to meet and exceed sales targets<br>• Cultivate a culture of excellent customer service, leading by example. Resolve customer complaints effectively and promptly.<br>• Minimise stock loss through the management, implementation and adherence of ATG policies and procedures.<br>• Analyse stock management information available to ensure sales opportunities are maximised.<br>• Provide and analyse reports in order to gain understanding of current performance trends, to identify commercial opportunities and ensure Buying/Planning are aware of stock related feedback.<br>• Prepare and implement stock takes in store in liaison with the Operations team.<br>• Recommend, manage and/or support sales promotions and brand activities through effective planning and preparation to meet expectations. Feedback to relevant parties.<br>• Establish and maintain effective professional relationships with key business partners.<br>• Ensure all Company policies and procedures are implemented and adhered to.<br>• Ensure Company Health & Safety standards are adhered to at all times<br>• Understand customer profiles and ensure feedback is provided on Marketing, Buying and Planning to relevant parties<br>• Ensure Visual Merchandising standards are maintained within brand guidelines. Implement Company expectations of standards, maintenance and cleanliness.<br>• Monitor sales per square foot to ensure maximum productivity within brand and store specifications<br>• Keep abreast of market trends and competitor activity and provide feedback/recommendations to the Company.<br>People Management Roles and Responsibilities<br>• Provide leadership and direction to team members towards the achievement of goals and objectives<br>• Coach and motivate team to enhance performance and produce quality work, and ensure that they are continuously developed for higher level roles.<br>Qualifications:<br>Education/Certification and Continued Education<br>• Graduate in any discipline<br>Years of Experience<br>• 3-5 years experience of successfully running a profitable retail store </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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Bachelor's degree / higher diploma </div>
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<p>As a Retail Manager (store based) for <strong>Gymshark, </strong>you will be responsible to lead and oversee the operations, ensuring consistent delivery of exceptional customer experience, over achievement of all store related targets and strong team performance across the store. Responsible for driving a high-performance culture, maintaining operational excellence, and ensuring alignment with brand standards. </p><br><br><p><span>At Al Tayer Insignia, your career is more than a job — it’s a journey into the heart of luxury retail. For over 40 years, we’ve partnered with the world’s most iconic brands, creating award-winning retail experiences across our boutiques, department stores, and leading online platforms. With stores and outlets across the GCC and a truly seamless omnichannel presence, we bring style, innovation, and heritage together. Here, you’ll join a diverse, customer obsessed, passionate team that celebrates creativity, values individuality, and empowers you to grow. Join us on our journey, reimagining fashion and redefining the meaning of luxury in the region.</span></p><br><br>Responsibilities:<br><p><strong>Functional Roles & Responsibilities</strong></p><br><ul><li>Drive sales to achieve and exceed store targets through effective leadership and operational efficiency.</li><li>Monitor and analyze store performance metrics, implementing strategies and action plans to develop the business.</li><li>Ensure the store delivers an industry leading service culture at all times.</li><li>Stay informed on market trends related to the industry, product categories, customer preferences, and competitor activity</li><li>Prepare sales analyses and reports on operational performance, market trends, competitor activities, and customer behaviour to support informed decision-making and brand strategy development.</li><li>Track sales performance against forecasts, analyze trends and leverage insights to drive sales growth and maximize profitability.</li><li>360 P&L awareness and implement strategies to protect profit and manage cost lines.</li><li>Recruit, train and retain a high-performing team.</li><li>Oversee all aspects of stock management across the brand, ensuring compliance with procedures while guiding the team to achieve optimal stock levels and minimize loss.</li><li>Collaborate with the visual merchandising team to ensure consistent implementation and maintenance of brand VM standards across all stores.</li><li>Plan and execute sales promotions and marketing initiatives in alignment with operational guidelines, ensuring effective execution and maximum impact.</li><li>Enforce and monitor compliance with store operations policies and procedures to maintain consistent and efficient operations</li></ul><p><strong>People Management Roles and Responsibilities</strong></p><br><ul><li>Provide guidance and motivation to team members to drive high performance and quality output, while actively supporting their continuous development.</li></ul><br>Qualifications:<br><p><strong>Education/Certification and Continued Education</strong></p><br><ul><li>Graduate in any discipline</li></ul><p><strong>Years of Experience</strong></p><br><ul><li>5–7 years’ experience successfully managing a fast-paced, large-format retail store</li></ul><p><strong>Knowledge and Skills</strong></p><br><ul><li>Retail Operations Management</li><li>Sales and Marketing</li><li>Coaching and mentoring</li><li>Inventory Management</li><li>Visual Merchandising</li><li>Financial Management</li></ul> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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5+ years </div>
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<b>Degree</b>
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<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
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<p>As an Assistant Retail Manager for Bloomingdale's you will be responsible t<span>o manage and develop the team in order to achieve high levels of revenue, whilst maintaining brand image, operational compliance and customer satisfaction.</span></p><br><br><p><span>At Al Tayer Insignia, your career is more than a job — it’s a journey into the heart of luxury retail. For over 40 years, we’ve partnered with the world’s most iconic brands, creating award-winning retail experiences across our boutiques, department stores, and leading online platforms. With stores and outlets across the GCC and a truly seamless omnichannel presence, we bring style, innovation, and heritage together. Here, you’ll join a diverse, customer obsessed, passionate team that celebrates creativity, values individuality, and empowers you to grow. Join us on our journey, reimagining fashion and redefining the meaning of luxury in the region.</span></p><br><br>Responsibilities:<br><p><span><strong>Functional Roles and Responsibilities </strong></span></p><br><ul><li><span>Drive sales, monitor performance and identify commercial opportunities and make recommendations to meet and exceed sales targets. </span></li><li><span>Cultivate a culture of excellent customer service, leading by example. Resolve customer complaints effectively and promptly. </span></li><li><span>Minimise stock loss through the management, implementation and adherence of ATG policies and procedures. </span></li><li><span>Ensure Visual Merchandising standards are maintained within brand guidelines. Implement Company expectations of standards, maintenance and cleanliness. </span></li><li><span>Monitor sales per square foot to ensure maximum productivity within brand and store specifications.</span></li><li><span>Keep abreast of market trends and competitor activity and provide feedback/recommendations to the Company. </span></li><li><span>Ensure all Company policies and procedures are implemented and adhered to. </span></li><li><span>Ensure Company Health & Safety standards are adhered to at all times.</span></li><li><span>Analyse stock management information available to ensure sales opportunities are maximised. </span></li><li><span>Provide and analyse reports in order to gain understanding of current performance trends, to identify commercial opportunities and ensure Buying/Planning are aware of stock related feedback. </span></li><li><span>Prepare and implement stock takes in store in liaison with the Operations team. </span></li><li><span>Recommend, manage and/or support sales promotions and brand activities through effective planning and preparation to meet expectations. Feedback to relevant parties. </span></li><li><span>Establish and maintain effective professional relationships with key business partners. </span></li><li><span>Understand customer profiles and ensure feedback is provided on Marketing, Buying and Planning to relevant parties.</span></li></ul><p><span><strong>People Management Roles and Responsibilities </strong></span></p><br><ul><li><span>Provide leadership and direction to team members towards the achievement of goals and objectives.</span></li><li><span>Coach and motivate team to enhance performance and produce quality work, and ensure that they are continuously developed for higher level roles.</span></li></ul><br>Qualifications:<br><p><span><strong>Education/Certification and Continued Education </strong></span></p><br><ul><li><span>Graduate in any discipline.</span></li></ul><p><span><strong>Years of Experience </strong></span></p><br><ul><li><span>3-5 years experience of successfully running a profitable retail store.</span></li></ul> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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5+ years </div>
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<b>Degree</b>
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<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
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<p>Advanced Autodesk Revit modelling for Architectural, Structural and/or MEP disciplines</p><p>Strong working knowledge of AutoCAD</p><p>Familiarity with Navisworks for model review and coordination support</p><p>Experience with Autodesk Construction Cloud (ACC) / BIM 360</p><p>BIM model creation, updating and maintenance in accordance with project standards</p><p>Preparation of shop drawings, coordinated drawings, sections, elevations and schedules</p><p>Revit family creation, modification and parameter management</p><p>Understanding of LOD / LOI requirements and BIM modelling standards</p><p>Model checking for naming conventions, coordinates, parameters and data accuracy</p><p>Support for clash detection and coordination issue resolution</p><p>Knowledge of Common Data Environment (CDE) workflows</p><p>Understanding of ISO 19650 BIM information management principles</p><p>Extraction of quantities, schedules and model-based information</p><p>As-built BIM model updating and record model preparation</p><p>Knowledge of linked models, worksets, shared coordinates and model federation</p><p>Familiarity with Dynamo and other BIM automation tools is an advantage</p><p>Experience on large-scale building, hospitality, mixed-use or infrastructure projects in KSA / Middle East</p><p>Ability to coordinate effectively with BIM Coordinators, Engineers, Designers and Site Teams</p><p><strong>Desired Candidate Profile</strong></p><p>To be successful in this dynamic opportunity, we envision that your career journey to date will include 7-10 years of work experience partnered with a relevant degree from recognized university or relevant professional qualification.</p><p>Relevant experience as a BIM Coordinator on high-rise buildings/ hotels</p><p>Ability to interpret engineering drawings, technical specifications, and authority guidelines.</p><p>Excellent attention to detail, file management, and coordination with multi-disciplinary teams.</p>
AABTEC is looking for a detail-oriented and skilled BIM Modeler to join our technical team. You will be responsible for creating, updating, and maintaining detailed 3D BIM models for complex architectural and specialized engineering projects.<br>Key Responsibilities- 3D Modeling: Develop accurate Architectural 3D BIM models using Autodesk Revit in accordance with project standards.<br>- Shop Drawings: Extract high-quality shop drawings, 2D plans, elevations, and sections directly from BIM models.<br>- Model Coordination: Perform basic clash detection, collaborate with BIM coordinators, and update models based on site feedback.<br>- Family Creation: Create and maintain parametric BIM families and library assets.<br>Requirements1- Education: Bachelor's degree or Diploma in Architecture, Civil Engineering, or a related field.<br>2- Experience: 5+ years of experience as a BIM Modeler in architectural, structural, or specialized projects.<br>3- Model Advancement: Proven experience in Model Development & Improvement from LOD 300 to LOD 500 (As-Built stage).<br>4-Software Proficiency: High proficiency in Autodesk Revit, Navisworks, and Auto CAD .<br>5- Technical Knowledge: Strong understanding of BIM workflows, LOD (Level of Development) specifications, and architectural detailing.
<p>As an AI & Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations solve business challenges through advanced analytics, automation, and Generative AI technologies. You will leverage cloud-based AI services, modern engineering practices, and scalable data platforms to deliver innovative, production-ready solutions while supporting the full AI lifecycle from data preparation through model deployment and optimization.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI platforms and services.</li><li>Build and maintain scalable data pipelines to support data ingestion, feature engineering, model training, deployment, and production operations.</li><li>Implement DevOps and MLOps practices to automate model development, deployment, monitoring, and lifecycle management.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business and technical requirements.</li><li>Assess business needs, data availability, and infrastructure constraints to recommend and implement AI solutions that deliver measurable outcomes.</li><li>Support AI workloads across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures.</li><li>Conduct research and experimentation on emerging AI technologies, algorithms, models, and simulation techniques to solve complex business problems.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.</li><li>Implement and maintain efficient data, model, and knowledge storage solutions to support scalable AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, architects, and business stakeholders to design, develop, and deploy enterprise-grade AI solutions.</li><li>Evaluate model performance and communicate the quality, effectiveness, and business value of AI solutions to stakeholders.</li><li>Ensure AI solutions comply with enterprise security, governance, and Responsible AI standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.</li><li>Hands-on experience designing and deploying AI/ML solutions in enterprise or consulting environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment and operationalization.</li><li>Strong understanding of data preprocessing, model evaluation, optimization, and performance tuning techniques.</li><li><strong>Preferred Qualifications</strong></li><li>Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li><li>Experience implementing AI observability, model monitoring, and production support capabilities.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies are preferred.</li></ul>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Join Buro Happold’s Buildings team in Riyadh as an MEP BIM Lead, shaping the digital delivery of complex, high-performance and sustainable building-services projects. </strong></p><br><br><br><br><br><p><strong>Here at Buro Happold, expect the exceptional. </strong></p><br><br><p>From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world. From our reputation to our relationships. Wherever your Buro Happold career takes you, it’ll be anything but ordinary. </p><br><br><br><p><strong>Your next role</strong></p><br><br><p>Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive. </p><br><br><p>You’ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that’s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy.</p><br><br><br><br><br><p><strong>Your key duties</strong></p><br><br><p>As MEP BIM Lead, you will be responsible for leading and embedding effective BIM processes across MEP design delivery within the Riyadh Buildings team. You will work in close partnership with project BIM leads, MEP job leaders, engineers, BIM technicians and external project stakeholders to establish robust project information-management procedures from mobilisation through design, coordination, construction support and final deliverables.</p><br><br><br><p><strong>Key responsibilities</strong></p><br><br>BIM leadership and delivery<ul><li><p>Lead the planning, setup, implementation and ongoing management of MEP BIM delivery on complex building projects.</p><br><br></li><li><p>Establish and maintain MEP BIM workflows in accordance with the project BIM Execution Plan, client requirements, relevant Buro Happold standards and agreed information-management protocols.</p><br><br></li><li><p>Support the review of tender and project BIM requirements, including Exchange Information Requirements, Level of Information Need, model-development requirements, delivery milestones and digital scope.</p><br><br></li><li><p>Contribute discipline-specific information to the BIM Execution Plan, Task Information Delivery Plan and coordinated programme of model and drawing deliverables.</p><br><br></li><li><p>Work with the Regional BIM Lead and Project BIM Lead to define clear digital-delivery responsibilities, workflows, approval routes and quality-control procedures.</p><br><br></li><li><p>Lead the development and implementation of MEP BIM enhancements, templates, standards, content libraries and automated workflows.</p><br><br></li><li><p>Support project teams in adopting consistent and efficient modelling, documentation and coordination practices.</p><br><br></li></ul>Model setup and project mobilisation<ul><li><p>Set up and maintain discipline Revit models in accordance with Buro Happold project templates, BIM standards and project-specific requirements.</p><br><br></li><li><p>Configure model worksets, links, shared coordinates, levels, grids, views, view templates, scope boxes, dependent views, match lines, sheets and publishing sets.</p><br><br></li><li><p>Coordinate with the project BIM lead and other disciplines to confirm project north, coordinate systems, model origins, linked-model strategy and information-sharing requirements.</p><br><br></li><li><p>Ensure project models are structured to support clear MEP design development, efficient coordination and high-quality drawing production.</p><br><br></li><li><p>Establish automated or semi-automated workflows for sheet creation, model setup, views and repeatable documentation tasks where appropriate.</p><br><br></li><li><p>Support the setup and effective use of Autodesk Construction Cloud for model sharing, issue management, coordination and controlled information exchange.</p><br><br></li></ul>MEP coordination and technical assurance<ul><li><p>Work with MEP job leaders and engineers to establish practical service-zone, routing and coordination strategies from the earliest design stages.</p><br><br></li><li><p>Lead and monitor the implementation of MEP coordination principles, including spatial allowances, access requirements, maintenance zones, builders-work interfaces and multidisciplinary design constraints.</p><br><br></li><li><p>Promote a clash-avoidance, right-first-time approach rather than relying solely on late-stage clash detection.</p><br><br></li><li><p>Coordinate MEP models with architecture, interiors, structures, landscape, civil, façade, fire and specialist consultant models.</p><br><br></li><li><p>Set up and manage Navisworks model reviews, clash-detection tests and issue-resolution workflows at agreed project intervals.</p><br><br></li><li><p>Support coordination reviews through Autodesk Construction Cloud Model Coordination and other agreed project platforms.</p><br><br></li><li><p>Coordinate builders-work openings, penetrations, sleeves and other interfaces with structural and architectural teams.</p><br><br></li><li><p>Identify recurring coordination risks, propose practical solutions and escalate critical issues promptly to the appropriate project leads.</p><br><br></li></ul>Quality and information management<ul><li><p>Carry out routine model-health and information-quality reviews, including compliance with model standards, naming conventions, worksets, view templates, parameters, tagging, model content and information requirements.</p><br><br></li><li><p>Ensure MEP models meet the agreed Level of Information Need and are suitable for each relevant project stage and deliverable.</p><br><br></li><li><p>Review drawing sets, title blocks, sheet registers, scale, annotation, graphic standards and PDF outputs to maintain a high-quality presentation standard.</p><br><br></li><li><p>Ensure alignment between model outputs, Task Information Delivery Plan milestones and agreed project issue schedules.</p><br><br></li><li><p>Support the preparation and review of MEP Revit models, drawings, schedules and coordinated deliverables at key project gateways.</p><br><br></li><li><p>Maintain clear records of BIM issues, audits, actions, risks and lessons learned to support continuous improvement.</p><br><br></li></ul>Team development and collaboration<ul><li><p>Provide technical support, training and guidance to engineers, BIM technicians and junior team members on Revit, Navisworks, Autodesk Construction Cloud and MEP BIM best practice.</p><br><br></li><li><p>Mentor BIM technicians in model setup, modelling quality, documentation, coordination and efficient Revit workflows.</p><br><br></li><li><p>Support the recruitment, onboarding, supervision and, where required, line management of BIM personnel.</p><br><br></li><li><p>Coordinate with Buro Happold BIM support teams in other regions and with approved external BIM delivery partners where required.</p><br><br></li><li><p>Communicate BIM requirements clearly and constructively to internal teams, consultants, contractors and clients.</p><br><br></li><li><p>Contribute to lessons learned, process improvements, digital innovation and knowledge sharing across the Riyadh Buildings practice.</p><br><br></li></ul><p><strong>Your skills and experience</strong></p><br><br><p>You are an experienced MEP BIM professional with strong technical knowledge of building-services design and a proven ability to lead digital delivery on multidisciplinary projects. You understand that BIM is not simply a modelling tool: it is a coordinated information-management process that supports better design decisions, improved project outcomes and more efficient delivery.</p><br><br><ul><li><p>A degree, diploma or equivalent technical qualification in Building Services Engineering, Mechanical Engineering, Electrical Engineering, Architectural Technology, BIM or a related discipline.</p><br><br></li><li><p>Significant experience leading MEP BIM delivery for building-services projects within a design consultancy, contractor, specialist engineering practice or multidisciplinary environment.</p><br><br></li><li><p>Advanced expertise in Autodesk Revit, particularly for MEP/MEPF design, documentation and multidisciplinary model coordination.</p><br><br></li><li><p>Strong working knowledge of Navisworks Manage, including federated model review, clash-test setup, issue management and coordination reporting.</p><br><br></li><li><p>Experience setting up and administering Autodesk Construction Cloud, including model sharing, publishing, permissions, review workflows and Model Coordination.</p><br><br></li><li><p>Demonstrable experience coordinating MEP services with architecture, structural engineering, interiors and specialist systems.</p><br><br></li><li><p>Strong knowledge of BIM standards and information-management workflows, including ISO 19650, BIM Execution Plans, Exchange Information Requirements, Task Information Delivery Plans, Level of Information Need and LOD principles.</p><br><br></li><li><p>Experience setting up project models, including shared coordinates, model links, worksets, levels, grids, views, templates, sheets and deliverable publishing workflows.</p><br><br></li><li><p>Experience in model and drawing quality assurance, information audits and BIM compliance reviews.</p><br><br></li><li><p>An understanding of building-services design coordination, including service-zone planning, plant-space requirements, distribution routes, builders-work openings and installation access.</p><br><br></li><li><p>Ability to manage several priorities and projects while maintaining quality, programme and delivery commitments.</p><br><br></li><li><p>Strong communication, coordination, problem-solving and stakeholder-management skills.</p><br><br></li><li><p>Experience using workflow automation tools such as Dynamo, Grasshopper, DiRoots or similar platforms is advantageous.</p><br><br></li><li><p>Experience with Revit automation tools, including RushForth, is beneficial.</p><br><br></li><li><p>Professional certification in BIM, Autodesk software or a relevant engineering discipline is desirable.</p><br><br></li></ul><p><strong>What we offer you</strong></p><br><br><p>Bring your knowledge and expertise to one of the world’s most respected consultancies. </p><br><br><ul><li>Hybrid working arrangements</li><li>Attractive salary and benefits package</li><li>A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you </li><li>Entitlement to two memberships to professional bodies or subscriptions </li><li>An international culture that wherever your career takes you at Buro Happold, you won’t be far from the exceptional. </li></ul><p><strong>At Buro Happold, everyone else’s extraordinary is just our everyday. </strong></p><br><br><p><strong>Apply today and be a part of our legacy. </strong></p><br><br><p><strong>A place for everyone </strong></p><br><br><p>Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance. We welcome applications from those who are seeking flexibility in their careers. </p><br><br><p>Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other’s differences is key, we want employees to feel they don’t have to mask elements of their identity to thrive. </p><br><br><p>We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.</p><br><br> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<div class="col is-3 p5" data-automation-id="label_Years_of_experience">
<b>Years of experience</b>
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No experience required </div>
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<div class="col is-3 p5" data-automation-id="label_Degree">
<b>Degree</b>
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<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
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About HUMAINHUMAIN, a PIF company, is a global artificial intelligence company delivering full-stack AI capabilities across four core areas - next-generation data centers, hyper-performance infrastructure & cloud platforms, advanced AI Models, including the world’s most advanced Arabic LLMs built in the Arab world, and transformative AI Solutions that combine deep sector insight with real-world execution. HUMAIN’s end-to-end model serves both public and private sector organizations, unlocking exponential value across all industries, driving transformation and strengthening capabilities through human-AI synergies. With a growing portfolio of sector-specific AI products and a core mission to drive IP leadership and talent supremacy world-wide, HUMAIN is engineered for global competitiveness and national distinction.<br>The Role Own and scale HUMAIN's service delivery model — the retained organization, BPO partnerships, and standards that deliver quality and efficiency at scale, increasingly AI-native.<br>What you'll do:Service model & retained org — architect the end-to-end model across the retained organization and BPO partners. Partner governance — own BPO partner governance, SLAs, and the commercial and performance relationship. Service catalogue & standards — own the service catalogue, SLAs, and quality governance. AI-native service delivery — deploy AI agents across delivery to raise quality and efficiency. Continuous improvement — drive cost and quality improvement in partnership with Process Excellence. Build & lead — operate as a player-coach, building and scaling the team over time.<br>What success looks like:First 90 days: a clear, governed service model across retained teams and partners, with standards and SLAs operating with discipline. By 6–12 months: consistent SLA and quality performance, measurable cost and quality improvement, and AI-native delivery raising capacity.<br>What you'll bring:-10+ years in service delivery or operations at a scaling company — tech / AI / digital preferred.-Stood up or run a retained + BPO service-delivery model end to end, at scale.-Service-model design, SLA and quality governance, and partner management expertise.-A continuous-improvement track record with measurable cost and quality gains.-Demonstrable experience applying AI within service delivery.-Bachelor's required; MBA / advanced degree a plus. English mandatory; Arabic a plus.<br>Who thrives at HUMAIN:AI-First Defaults to AI to multiply output and rethink the work. Ownership End-to-end accountability; bias to action over perfection. Builder Thrives in ambiguity; creates structure from zero. Rigor Operational discipline and high standards, consistently. Orchestrator Drives outcomes through others, across functions.<br><br>Ready to build what’s next? This is where your potential meets the work shaping the future of AI. Join HUMAIN, contribute to real projects from day one, and grow alongside with the people building the AI era. Apply now.
<p>As an AI/ML Associate Manager , you will design, develop, and deploy advanced Artificial Intelligence (AI) and Machine Learning (ML) solutions that address complex business challenges. You will leverage cloud AI services, Generative AI technologies, and modern MLOps practices to build scalable, production-ready AI systems. This role requires expertise in model development, data engineering, and AI platform capabilities to support enterprise-wide AI adoption.</p><p>Key Responsibilities</p><ul><li>Design and develop AI and Machine Learning solutions using cloud-native AI services and modern AI frameworks.</li><li>Build and maintain scalable data pipelines to support model training, deployment, monitoring, and production operations.</li><li>Implement DevOps and MLOps practices to enable efficient model lifecycle management and continuous delivery.</li><li>Customize, fine-tune, and deploy Generative AI, Large Language Models (LLMs), and Deep Learning models based on business requirements.</li><li>Develop AI solutions that operate across cloud environments, edge devices, and high-performance computing (HPC) infrastructures.</li><li>Evaluate model performance and demonstrate the business value, accuracy, and effectiveness of AI solutions.</li><li>Conduct research and development activities to assess emerging AI technologies, algorithms, and modeling approaches.</li><li>Work with large-scale structured and unstructured datasets, applying data preparation and feature engineering techniques to improve model outcomes.</li><li>Design and implement efficient data, model, and knowledge storage solutions to support AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, architects, and business stakeholders to deliver scalable and production-ready AI solutions.</li><li>Ensure AI solutions follow security, governance, and Responsible AI standards throughout the development lifecycle.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>6-9 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related fields.</li><li>Hands-on experience developing and deploying AI/ML solutions in enterprise environments.</li><li>Strong experience with Python and popular AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.</li><li>Experience working with Generative AI, Large Language Models (LLMs), Deep Learning, and related AI technologies.</li><li>Knowledge of cloud-based AI services on Azure, AWS, or Google Cloud Platform.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment and monitoring.</li><li>Strong understanding of data engineering, data preprocessing, and model optimization techniques.</li><li>Experience fine-tuning and deploying Generative AI and foundation models for business use cases.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI, distributed computing, and high-performance computing (HPC) environments.</li><li>Experience with AI observability, model monitoring, and production support processes.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, or Cloud Technologies are preferred.</li></ul>
We are looking for an experienced Data Scientist to build, evaluate, and productionize predictive and intelligent models across ML, deep learning, NLP, and computer vision. The role focuses on developing production-ready models, maintaining statistical rigor, and translating insights into business outcomes.<br>Responsibilities:<br>Own model development, experimentation, evaluation, and production readiness. Develop forecasting, optimization, recommendation, decision-science, and ML models. Perform feature engineering, EDA, and statistical analysis to identify meaningful patterns. Design rigorous model evaluation, validation, and testing frameworks. Validate model performance, fairness, and bias before go-live. Manage experiment tracking, datasets, and model reproducibility using tools such as MLflow/W&B. Present model results, trade-offs, and uncertainty to business stakeholders. Collaborate with ML Engineers and Architects to productionize models. Lead complex decision-intelligence engagements when required. Mentor junior Data Scientists and ML Engineers.<br>Qualifications:<br>5+ years of applied Data Science experience with production model-shipping experience. Strong expertise in classical/statistical ML, forecasting, optimization, and deep learning. Experience with NLP, Computer Vision, graph-based features, or knowledge graphs is a plus. Strong Python, SQL, and experience with scikit-learn, PyTorch/Tensor Flow, MLflow, or Weights & Biases. Strong knowledge of hypothesis testing, confidence intervals, and causal inference. Familiarity with fairness/bias evaluation and explainability tools such as SHAP and LIME. Strong communication skills with the ability to explain technical concepts and model trade-offs to business stakeholders. Ability to defend modeling decisions and collaborate closely with engineering and architecture teams.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>AI Operations Engineer Position Overview We are seeking an AI Operations Engineer to operate and maintain a GPU-accelerated AI inference platform. This is a hands-on technical role responsible for the day-to-day operations of LLM serving infrastructure from bare-metal OS provisioning through production model deployment, monitoring, and capacity planning. The platform serves large language models to internal applications. You will be the dedicated engineer ensuring this infrastructure is reliable, performant, and ready to absorb new models and workloads as requirements evolve. Compensation & Benefits We offer a comprehensive expat/travel benefits package to ensure a seamless transition and comfortable stay. Fully Covered Accommodations: Premium housing/accommodation provided. Meals & Dining: Full food and dining arrangements taken care of by the company. Travel & Commute: Comprehensive coverage of international flight tickets and all local business-related transportation. Visa Sponsorship: End-to-end processing and cost management for work visas and legal documentation. Per Diem Allowance: A daily out-of-pocket allowance (Per Diem) will be provided, with the exact structure and commercial terms finalized upon onboarding/joining. Key Responsibility Infrastructure Provisioning & Automation OS to Production: Provision, harden, and patch vanilla Linux, installing GPU drivers, Python, and inference engines. IaC Automation: Maintain version-controlled infrastructure-as-code for repeatable fleet deployments. Air-Gapped Workflows: Manage offline, restricted-network deployments and local model distribution. Container Management: Configure containerized workloads, database backends, and reverse proxies. LLM Inference Engine Operations Engine Deployment: Deploy and maintain LLM inference serving engines across enterprise GPUs. Multi-GPU Sharding: Configure model sharding based on size, topology, and workload requirements. Quantization & Sizing: Manage quantization trade-offs and calculate GPU memory/cache sizing for optimal concurrency. Feature Config: Set up and troubleshoot tool calling, reasoning modes, and multimodal serving. Model Evaluation: Benchmark and deploy new model releases for quality, accuracy, and throughput. API Gateway & Traffic Management Gateway Operations: Configure routing, load balancing, API keys, token counting, and usage tracking. Support Services: Manage gateway-adjacent database backends, caching layers, and reverse proxies. Traffic Diagnosis: Troubleshoot full-path request issues using HTTP, streaming (SSE), and OpenAI API conventions. Monitoring, Reporting, & Cost Analysis Observability Stack: Own metrics collection, dashboards, and GPU-level telemetry (power, temp, VRAM). Operational Metrics: Report on throughput, latencies (p50/p95/p99), queue depth, and tokens per second. Cost Attribution: Deliver token-level cost analysis and usage reporting per user and application. Alert Management: Define and monitor thresholds for hardware health and capacity degradation. Capacity Planning & Performance Engineering Fleet Scaling: Analyze throughput across GPU configs to guide procurement and fleet planning. Benchmarking: Validate new models and quantization methods before production rollout. Optimization: Resolve performance bottlenecks across drivers, runtimes, and network layers. Developer Collaboration & Prompt Engineering Workload Onboarding: Partner with app teams to onboard workloads onto the inference platform. Prompt & Param Tuning: Recommend prompt and parameter adjustments to optimize token usage and model output. Issue Isolation: Troubleshoot model behavior to isolate prompt/model limits from infrastructure bugs. Fine-Tuning (Foundational) Workflow Support: Understand fine-tuning fundamentals (LoRA/QLoRA) to assist ML teams with dataset and training workflows. Model Deployment: Deploy fine-tuned models and manage their distinct serving requirements. Technical Skills Operating Systems: Linux administration (RHEL family preferred), including kernel tuning, service management, storage, and network configuration. GPU and AI Stack: NVIDIA drivers and toolkits, LLM inference engines, model quantization techniques, multi-GPU parallelism concepts. Networking: HTTP/HTTPS, reverse proxy configuration, TLS/SSL, firewall management, network file systems, and load balancing concepts. Monitoring: Metrics collection, visualization, and alerting using industry-standard observability tools. Automation: Configuration management (Ansible preferred), shell scripting, Python for operational tooling. Version Control: Git with disciplined branching, tagging, and commit practices. Python: Virtual environments, dependency management, and debugging Python-based services. Soft Skills Ability to work independently and take ownership of infrastructure decisions with minimal supervision. Clear technical communication able to document procedures, write runbooks, and explain infrastructure constraints to development teams. Methodical troubleshooting approach: isolate variables, reproduce issues, document root causes and fixes. Comfort operating in environments with data sovereignty requirements and restricted internet access Required Qualifications Experience Minimum 4 years of hands-on experience in Linux systems engineering, with at least 2 years involving GPU infrastructure or ML/AI workloads. Demonstrated experience deploying and operating LLM inference engines in production environments. Strong working knowledge of the NVIDIA GPU software stack: drivers, toolkits, runtime libraries, and common failure modes. Experience with infrastructure-as-code and configuration management tools. Solid understanding of Linux containerization technologies, including rootless operation and service management integration Preferred Qualifications Experience with LLM API gateway or proxy solutions for multi-model routing and management. Familiarity with LLM fine-tuning workflows (LoRA, QLoRA, dataset preparation, evaluation). Experience with air-gapped or restricted-network deployments. Knowledge of Arabic NLP or multilingual model evaluation. Experience scaling GPU infrastructure across growing fleet sizes. Familiarity with cloud GPU providers and bare-metal GPU hosting environments. Understanding of Mixture of Experts (MoE) model architectures and their serving implications Note: We required immediate joiners only.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 4 years of hands-on experience in Linux systems engineering, with at least 2 years involving GPU infrastructure or ML/AI workloads.</li><li>Demonstrated experience deploying and operating LLM inference engines in production environments.</li><li>Strong working knowledge of the NVIDIA GPU software stack: drivers, toolkits, runtime libraries, and common failure modes.</li><li>Experience with infrastructure-as-code and configuration management tools.</li><li>Solid understanding of Linux containerization technologies, including rootless operation and service management integration</li><li>Experience with LLM API gateway or proxy solutions for multi-model routing and management.</li><li>Familiarity with LLM fine-tuning workflows (LoRA, QLoRA, dataset preparation, evaluation).</li><li>Experience with air-gapped or restricted-network deployments.</li><li>Knowledge of Arabic NLP or multilingual model evaluation.</li><li>Experience scaling GPU infrastructure across growing fleet sizes.</li><li>Familiarity with cloud GPU providers and bare-metal GPU hosting environments.</li><li>Understanding of Mixture of Experts (MoE) model architectures and their serving implications</li><li>Ability to work independently and take ownership of infrastructure decisions with minimal supervision.</li><li>Clear technical communication able to document procedures, write runbooks, and explain infrastructure constraints to development teams.</li><li>Methodical troubleshooting approach: isolate variables, reproduce issues, document root causes and fixes.</li><li>Comfort operating in environments with data sovereignty requirements and restricted internet access</li></ul><p></p></section>
<p>As an AI/ML Engineer Associate Manager , you will design, build, and deploy scalable Artificial Intelligence (AI) and Machine Learning (ML) solutions that enable organizations to unlock value from data and advanced analytics. You will leverage cloud-native AI services, Generative AI technologies, and MLOps best practices to deliver production-ready solutions while driving innovation through research, model development, and high-performance computing capabilities.</p><p>Key Responsibilities</p><ul><li>Design and develop AI and Machine Learning solutions using modern AI frameworks and cloud-based AI services.</li><li>Build, deploy, and maintain scalable data pipelines that support model training, inference, monitoring, and production operations.</li><li>Implement DevOps and MLOps practices to ensure efficient model development, deployment, versioning, and lifecycle management.</li><li>Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business requirements.</li><li>Develop AI solutions that can operate across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.</li><li>Evaluate model performance and communicate the quality, scalability, and business value of AI solutions to stakeholders.</li><li>Conduct research and development activities focused on emerging AI technologies, algorithms, simulations, and advanced analytical methods.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, feature engineering, and optimization techniques.</li><li>Design and implement efficient data, model, and knowledge storage mechanisms to support AI applications and retrieval capabilities.</li><li>Collaborate with architects, data engineers, and business stakeholders to deliver robust, enterprise-grade AI solutions.</li><li>Ensure adherence to security, governance, and Responsible AI principles throughout the AI solution lifecycle.</li><li>Support continuous improvement of AI platforms, tools, and engineering practices to enhance solution performance and reliability.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>6-9 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical fields.</li><li>Hands-on experience designing, developing, and deploying AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building scalable data pipelines and implementing MLOps practices for model deployment and monitoring.</li><li>Strong understanding of data engineering, data preprocessing, feature engineering, and model optimization techniques.</li><li>Experience developing and deploying Generative AI solutions, foundation models, and LLM-based applications.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing architectures, and High-Performance Computing (HPC) environments.</li><li>Experience implementing AI observability, model monitoring, and production support processes.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, or Cloud Technologies are preferred.</li></ul>
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3>
<p style="margin:0 0 12px; ************;">Accenture Middle East is seeking an <strong style="font-weight:700;">AI & Machine Learning Consultant</strong> to join our team in Riyadh, Saudi Arabia. This full-time role involves designing, developing, and implementing Artificial Intelligence (AI) and Machine Learning (ML) solutions. The consultant will leverage advanced analytics, automation, and Generative AI technologies to address business challenges, utilizing cloud-based AI services, modern engineering practices, and scalable data platforms. This position supports the full AI lifecycle, from data preparation through model deployment and optimization.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Core Responsibilities</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">Design and develop AI and ML solutions using cloud-native AI platforms and services.</li>
<li style="margin:0 0 6px;">Build and maintain scalable data pipelines for data ingestion, feature engineering, model training, deployment, and production operations.</li>
<li style="margin:0 0 6px;">Implement DevOps and MLOps practices to automate model development, deployment, monitoring, and lifecycle management.</li>
<li style="margin:0 0 6px;">Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to meet business and technical requirements.</li>
<li style="margin:0 0 6px;">Assess business needs, data availability, and infrastructure constraints to recommend and implement AI solutions that deliver measurable outcomes.</li>
<li style="margin:0 0 6px;">Support AI workloads across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures.</li>
<li style="margin:0 0 6px;">Conduct research and experimentation on emerging AI technologies, algorithms, models, and simulation techniques to solve complex business problems.</li>
<li style="margin:0 0 6px;">Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.</li>
<li style="margin:0 0 6px;">Implement and maintain efficient data, model, and knowledge storage solutions to support scalable AI applications and retrieval capabilities.</li>
<li style="margin:0 0 6px;">Collaborate with data engineers, architects, and business stakeholders to design, develop, and deploy enterprise-grade AI solutions.</li>
<li style="margin:0 0 6px;">Evaluate model performance and communicate the quality, effectiveness, and business value of AI solutions to stakeholders.</li>
<li style="margin:0 0 6px;">Ensure AI solutions comply with enterprise security, governance, and Responsible AI standards.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Essential Qualifications</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.</li>
<li style="margin:0 0 6px;">Hands-on experience designing and deploying AI/ML solutions in enterprise or consulting environments.</li>
<li 0="" style="margin=" 6px;"="">Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li>
<li style="margin:0 0 6px;">Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li>
<li style="margin:0 0 6px;">Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li>
<li style="margin:0 0 6px;">Experience building data pipelines and implementing MLOps practices for model deployment and operationalization.</li>
<li style="margin:0 0 6px;">Strong understanding of data preprocessing, model evaluation, optimization, and performance tuning techniques.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Desired Skills and Experience</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.</li>
<li style="margin:0 0 6px;">Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li>
<li style="margin:0 0 6px;">Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li>
<li style="margin:0 0 6px;">Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li>
<li style="margin:0 0 6px;">Experience implementing AI observability, model monitoring, and production support capabilities.</li>
<li style="margin:0 0 6px;">Strong analytical, problem-solving, and stakeholder management skills.</li>
<li style="margin:0 0 6px;">Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Location and Employment Type</h3>
<p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh, Saudi Arabia. The role requires a commitment to delivering high-quality AI and ML solutions within an enterprise or consulting environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3>
<p style="margin:0 0 12px; ************;">We encourage qualified candidates to apply. Salary details for this position will be discussed during the interview process.</p>
<h3 >About the Role</h3>
<p >Bupa Arabia is seeking a <strong >Manager FWA Data Science</strong> to join their team in Makkah, with operations spanning Jeddah and Makkah. This full-time role is central to transforming validated analytical prototypes into robust, scalable, and measurable fraud, waste, and abuse (FWA) detection models ready for production. The role requires 5-10 years of relevant experience.</p>
<h3 >Role Context and Impact</h3>
<p >The Manager FWA Data Science will own the entire lifecycle of FWA detection models, including enhancement, feature engineering, calibration, validation, explainability, performance assessment, and continuous improvement. Working closely with Actuarial, Claims Integrity, and FWA AI Engineering teams, this position ensures that FWA detection models remain effective, relevant, and aligned with evolving fraud patterns post-deployment.</p>
<h3 >Key Responsibilities</h3>
<ul >
<li >Assess AI/ML prototypes from Actuarial teams, refining model logic and improving statistical rigor.</li>
<li >Enhance feature engineering methodologies and validate prototype assumptions.</li>
<li >Develop explainable detection methodologies and support the migration of approved analytical models to cloud-based solutions.</li>
<li >Improve and retrain FWA models using new data and investigation outcomes, developing advanced fraud detection features and enhancing anomaly detection models.</li>
<li >Build risk scoring methodologies and improve model precision and operational effectiveness.</li>
<li >Define model success metrics, monitor precision, recall, and business impact, and perform false-positive and false-negative analysis.</li>
<li >Validate model outputs with investigators and support production readiness reviews.</li>
<li >Analyze investigation outcomes to identify emerging fraud behaviors, design new detection features, and recommend modifications to existing models.</li>
<li >Collaborate with FWA operations on evolving threats and monitor the business effectiveness of deployed models.</li>
<li >Recommend retraining and recalibration activities, support periodic model reviews, and maintain model documentation and governance artifacts.</li>
</ul>
<h3 >Qualifications and Experience</h3>
<ul >
<li >A minimum of 5 years and a maximum of 10 years of experience in data science, with a focus on fraud detection or similar analytical model development.</li>
<li >Demonstrated experience in model industrialization, enhancement, validation, and performance assessment.</li>
<li >Proficiency in developing and deploying scalable data science models.</li>
<li >Strong analytical skills with the ability to identify emerging patterns and recommend data-driven solutions.</li>
</ul>
<h3 >Work Environment</h3>
<p >This is a full-time position based in Makkah, Saudi Arabia, with responsibilities covering operations in Jeddah and Makkah. The role involves close collaboration with cross-functional teams including Actuarial, Claims Integrity, and FWA AI Engineering.</p>
<h3 >Application Process</h3>
<p >Candidates interested in this role are encouraged to apply. Salary details will be discussed during the interview process.</p>