Model Jobs in Saudi

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Overview</strong><br><p><span>KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</span></p><br><p><span>As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey.</span></p><br><p><span>We invite you to join us. Why?</span></p><br><p><span>When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards.</span></p><br> <br><strong>Responsibilities</strong><br><p><span>Our newest opportunity is for a talented <strong>BIM Specialist </strong>to join our award-winning team in <strong>Riyadh, Saudi Arabia</strong>.</span></p><br><p><span>This critical role will be supporting 3D design models and will be responsible for developing, managing, and coordinating BIM models for roads, highways, and related infrastructure works. The role ensures the generation of 2D drawings from models, maintains high standards for BIM implementation, performs clash detection within the discipline, and ensures coordination for multidisciplinary infrastructure projects.</span></p><br><p><span>We envisage success in this role to include:</span></p><br><ul><li><p><span>Coordinating the overall BIM implementation within the roads/infrastructure discipline to support multidisciplinary project delivery.</span></p><br></li><li><p><span>Managing the assigned project BIM/CAD team, including quality assurance and quality control of models and drawings.</span></p><br></li><li><p><span>Assisting in the creation of BIM deliverables, model federation, clash detection reports, BIM quality control plans, and design reviews in addition to supporting asset management BIM implementation.</span></p><br></li><li><p><span>Developing and managing 3D models for roads, highways, earthworks, drainage, and related infrastructure using Civil 3D (and other relevant tools).</span></p><br></li><li><p><span>Conducting internal clash detection to ensure road alignments, utilities, and other infrastructure elements do not interfere with other disciplines.</span></p><br></li><li><p><span>Generating accurate 2D drawings (plans, profiles, cross-sections, details) from BIM models in compliance with client requirements and company standards.</span></p><br></li><li><p><span>Supporting the implementation of BIM Execution Plans (BEP) for BIM deliverable production within the roads/infrastructure discipline.</span></p><br></li><li><p><span>Leading BIM standards, modelling workflows, and digital delivery processes during the project lifecycle.</span></p><br></li><li><p><span>Providing technical support and troubleshooting for software functionality issues.</span></p><br></li><li><p><span>Creating templates/libraries as per client’s requirements.</span></p><br></li><li><p><span>Providing training for modelers when needed and overseeing onboarding of BIM modelers to projects.</span></p><br></li><li><p><span>Acting as the focal point of contact between the BIM Management team and the project design team.</span></p><br></li></ul> <br><strong>Qualifications</strong><br><p><span><span>To be successful in this dynamic opportunity, we envision that you will have a minimum of a <span>Bachelor's degree </span>or relevant field and more than 14 years of experience with at least 3 years on roads/highways/infrastructure projects.</span></span></p><br><p><span><span>Furthermore, you should demonstrate:</span></span></p><br><ul><li><p><span>Strong proficiency in Autodesk Civil 3D, Infraworks, Navisworks, and other relevant BIM tools.</span></p><br></li><li><p><span>Familiarity with international BIM standards (ISO 19650 or similar).</span></p><br></li><li><p><span>Experience in clash detection, model coordination, and multidisciplinary BIM workflows.</span></p><br></li><li><p><span>Strong communication and collaboration skills.</span></p><br></li><li><p><span>Gulf experience and knowledge of Qatar’s infrastructure projects is an advantage.</span></p><br></li></ul><p><span>KEO’s performance is founded upon integrity, results, innovation, safety, and our people. We embrace diversity and recognise its’ contribution to client success wherever we work.</span></p><br><p><span>We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.</span></p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

ROLE PURPOSE & STRATEGIC IMPORTANCEThe Risk Manager &Credit Manager is the architect and guardian of company entire risk framework. This combined role—permitted by SAMA for early-stage finance companies—demands a professional who can build an enterprise risk management program from scratch while simultaneously designing the credit underwriting engine that will define company core business. The individual must balance two critical mandates:first, creating robust risk identification, assessment, and mitigation structures across credit, operational, market, liquidity, strategic, and reputational risk categories; second, designing credit policies, scoring models, and portfolio management practices that enable responsible lending while protecting capital. This person will be a key voice in product design, pricing strategy, and customer segmentation—ensuring that commercial ambition never outpaces risk prudence. In a startup lending company, this role is not advisory; it is decisional and carries direct accountability for the quality of every riyal lent.<br>KEY RESPONSIBILITIES & EXPECTATIONSThe role holder is expected to deliver measurable outcomes across the following areas:• Enterprise Risk Framework: Design, implement, and maintain a comprehensive Enterprise Risk Management (ERM) framework covering credit risk, operational risk, market risk, liquidity risk, strategic risk, reputational risk, and technology risk. The framework must include a risk taxonomy, risk appetite statement, risk register, key risk indicators (KRIs), and escalation protocols aligned with SAMA expectations.• Credit Policy & Underwriting Standards: Author the company’s Credit Policy from scratch, defining eligibility criteria, debt-burden ratios, maximum exposure limits, collateral requirements, tenure policies, pricing methodology, and exception management. Ensure the policy is aligned with SAMA’s responsible lending guidelines and the Consumer Finance Regulations.• Credit Scoring & Decision Engine: Design and validate credit scoring models (application scoring, behavioral scoring, and collection scoring) that optimize approval rates while maintaining portfolio quality within risk appetite. Specify decision engine rules including automated approvals, manual referrals, and decline criteria. Monitor model performance through ongoing validation, back-testing, and champion/challenger testing.• Risk Assessment per CRFR 3.1.6: Conduct periodic and event-driven risk assessments covering IT,cyber, operational, and business risks as mandated by CRFR control 3.1.6. Document findings, riskratings, and remediation plans. Present results to the Board Risk Committee quarterly.<br>• CRC Service Request Review: Review every new service, product, or channel request (CRC Form)from a risk perspective before submission to SAMA. Ensure that risk assessments are completed,controls are identified, and residual risks are within acceptable tolerance.• Portfolio Monitoring & Reporting: Establish real-time portfolio monitoring dashboards tracking delinquency rates, vintage analysis, roll rates, concentration risk, and provision adequacy. Define early warning triggers and escalation protocols when portfolio metrics breach tolerance thresholds. Produce monthly risk reports for the CEO and quarterly risk reports for the Board Risk Committee.• Stress Testing & Scenario Analysis: Design and execute stress testing scenarios covering economic downturns, sector-specific shocks, interest rate movements, and operational disruptions. Use results to calibrate risk appetite, capital buffers, and contingency plans.• Provisioning & IFRS 9: Collaborate with the CFO to establish IFRS 9 Expected Credit Loss (ECL) methodology, including stage classification criteria, probability of default (PD) models, loss given default (LGD) estimates, and exposure at default (EAD) calculations. Review provision adequacy monthly.• Fraud Risk Integration: Work closely with the Anti-Fraud Manager to ensure fraud risk is properlyintegrated into the overall risk framework, and that fraud losses are captured, analyzed, and factored into risk appetite and provisioning decisions.• Regulatory Limit Monitoring: Monitor compliance with all SAMA prudential limits including singleborrower exposure limits, sector concentration limits, related party lending restrictions, capital adequacy ratios, and leverage ratios. Report breaches immediately to the CEO and SAMA.<br>KEY DELIVERABLES & SUCCESS METRICS:The following concrete deliverables are expected within the first 6–12 months:• Risk Management Policy: Board-approved Enterprise Risk Management Policy submitted to SAMA within 2 months, covering all risk categories with clear ownership and escalation paths.• Credit Policy: Comprehensive Credit Policy approved by Board and submitted to SAMA within 3 months, with detailed underwriting criteria, scoring model specifications, and exception authority matrix.• Risk Appetite Statement: Quantified risk appetite statement approved by the Board within 2 months, with specific thresholds for each risk category and clear linkage to capital planning.• Scoring Models: Credit scoring models developed, validated, and deployed in the decision engine within 6 months of license, with documented methodology and performance benchmarks.• Risk Dashboard: Automated risk monitoring dashboard operational within 4 months, with real-time KRIs visible to CEO, Board Risk Committee, and risk team.• CRFR Risk Assessments: First comprehensive risk assessment per CRFR 3.1.6 completed anddocumented within 3 months, with annual refresh cycle established.<br>QUALIFICATIONS & CERTIFICATIONS:• Bachelor’s degree in Finance, Economics, Risk Management, Statistics, or a quantitative discipline. Master’s degree strongly preferred.• FRM (Financial Risk Manager) or PRM (Professional Risk Manager) certification required. CFA is astrong plus.• Strong quantitative and analytical capabilities, including statistical modeling and data analysis.• In-depth knowledge of SAMA prudential regulations, IFRS 9, and Basel frameworks as applicable to finance companies.• Fluency in Arabic and English (both written and spoken) is mandatory.<br>EXPERIENCE REQUIREMENTS:<br>• Minimum 10 years in risk management and/or credit management in financial institutions (banks, finance companies, or fintech lenders).• At least 5 years in a senior risk or credit role with portfolio-level accountability.• Hands-on experience building credit scoring models and decision engine rules for consumer or SME lending.• Experience working with SAMA-regulated entities and familiarity with SAMA inspection methodology is strongly preferred.• Proven track record of building risk management frameworks from inception in new or early-stage financial institutions.<br>CORE COMPETENCIES & SKILLS:<br>• Analytical Rigor: Ability to synthesize complex quantitative data into actionable risk insights andtranslate them into clear recommendations for non-technical stakeholders.• Commercial Awareness: Understanding that risk management is an enabler, not a blocker—ability to find the optimal balance between growth and prudence.• Regulatory Fluency: Deep understanding of how SAMA evaluates risk management practices and what constitutes a best-in-class risk function for a finance company.• Decisiveness: Willingness to make and defend risk decisions, including declining transactions thatexceed risk appetite, escalating concerns to the Board, and challenging the CEO when necessary.• Communication: Ability to present complex risk topics clearly to the Board, simplify technical concepts for operational teams, and write comprehensive risk reports that satisfy SAMA expectations.<br>SAMA REGULATORY COMPLIANCE OBLIGATIONS:This position carries direct accountability for the following SAMA regulatory requirements:• Fit & Proper Assessment: Appointment requires SAMA approval. The individual must pass Fit & Proper evaluation before commencing duties. SAMA must be notified of any subsequent changes.• CRC Service Request Sign-Off: Must formally review and sign off on all CRC Service Requests before they are submitted to SAMA, confirming that risk assessments have been completed and residual risks are acceptable.• CRFR 3.1.6 Compliance: Direct accountability for conducting, documenting, and reporting riskassessments as required by CRFR control 3.1.6, including IT and cyber risk dimensions in coordination with the CISO.• Risk Management Policy: Owner of the Risk Management Policy per SAMA Governance Principles. Must ensure the policy is reviewed at least annually, approved by the Board, and available for SAMA inspection at all times.• Prudential Limit Monitoring: Responsible for monitoring and immediately reporting any breach of SAMA prudential limits, including capital adequacy, concentration, and exposure limits.

<p>Role Overview As a Data &amp; AI Strategy Consultant , you will help organizations define and execute their data and AI transformation strategies to drive business growth, innovation, and competitive advantage. You will assess current capabilities, develop future-state AI operating models, and create actionable roadmaps that enable organizations to become AI-first enterprises. This role requires a combination of business strategy, technology vision, and AI transformation expertise to help clients unlock value from data and AI investments. Key Responsibilities Shape enterprise data and AI visions that drive business transformation, innovation, and sustainable competitive advantage. Assess organizational maturity across data, analytics, AI capabilities, operating models, and governance frameworks. Define enterprise data and AI strategies that optimize data assets, AI technologies, and digital capabilities to support business objectives. Develop target-state AI-first operating models, including organizational structures, processes, governance, and ways of working. Create AI platform and technology blueprints that enable scalable, secure, and responsible AI adoption. Develop business cases, investment strategies, value realization frameworks, and transformation roadmaps for data and AI initiatives. Embed Responsible AI principles into strategic planning, governance frameworks, and enterprise transformation programs. Identify the people, processes, and technologies required to scale and operationalize AI solutions across the organization. Define ecosystem and partnership strategies to accelerate AI innovation and business value realization. Facilitate executive stakeholder discussions and provide strategic guidance on AI-enabled business reinvention. Develop AI-first product strategies and identify commercialization opportunities for AI-enabled products and services. Promote a culture of innovation, experimentation, and continuous learning to support long-term AI transformation. Basic Qualifications 4-7 years of experience in Data &amp; AI Strategy, Technology Consulting, Digital Transformation, Data Management, or related advisory roles. Experience developing business, data, analytics, or AI transformation strategies for enterprise organizations. Strong understanding of AI, Generative AI, data platforms, analytics, and emerging technology trends. Experience assessing organizational maturity and developing transformation roadmaps. Knowledge of data governance, AI governance, Responsible AI, and operating model design. Strong business case development, strategic planning, and stakeholder management skills. Ability to translate business objectives into actionable data and AI strategies. Preferred Qualifications Experience supporting enterprise-wide Data &amp; AI transformation programs. Understanding of AI operating models, AI Centers of Excellence (CoE), and organizational change management. Familiarity with cloud-based data and AI platforms such as Azure, AWS, or Google Cloud. Experience with AI product strategy, innovation programs, and commercialization initiatives. Knowledge of data monetization, digital products, and AI-driven business models. Strong executive communication, presentation, and consulting skills. MBA, Master's degree, or relevant certifications in Strategy, Data, AI, or Cloud Technologies are preferred.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Data &amp; AI Strategy, Technology Consulting, Digital Transformation, Data Management, or related advisory roles.</li><li>Experience developing business, data, analytics, or AI transformation strategies for enterprise organizations.</li><li>Strong understanding of AI, Generative AI, data platforms, analytics, and emerging technology trends.</li><li>Experience assessing organizational maturity and developing transformation roadmaps.</li><li>Knowledge of data governance, AI governance, Responsible AI, and operating model design.</li><li>Strong business case development, strategic planning, and stakeholder management skills.</li><li>Ability to translate business objectives into actionable data and AI strategies.</li><li>Experience supporting enterprise-wide Data &amp; AI transformation programs.</li><li>Understanding of AI operating models, AI Centers of Excellence (CoE), and organizational change management.</li><li>Familiarity with cloud-based data and AI platforms such as Azure, AWS, or Google Cloud.</li><li>Experience with AI product strategy, innovation programs, and commercialization initiatives.</li><li>Knowledge of data monetization, digital products, and AI-driven business models.</li><li>Strong executive communication, presentation, and consulting skills.</li><li>MBA, Master's degree, or relevant certifications in Strategy, Data, AI, or Cloud Technologies are preferred.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u><b>Job Description:</b></u></p><br><p><span>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.&nbsp;</span></p><br><p><span>As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.</span></p><br><p><span>This is a unique opportunity to design, build, and deploy a wide range of applications⸺from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.</span></p><br><p><b>Key Responsibilities:</b></p><br><ul><li><p><span>Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</span></p><br></li><li><p><span>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</span></p><br></li><li><p><span>Agentic AI:&nbsp; Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</span></p><br></li><li><p><span>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</span></p><br></li><li><p><span>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</span></p><br></li><li><p><span>Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</span></p><br></li><li><p><span>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</span></p><br></li><li><p><span>Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</span></p><br></li></ul><p><b>Knowledge, Skills and Abilities<span>:</span></b></p><br><p><span>AI &amp; Machine Learning Expertise:</span></p><br><ul><li><p><span>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</span></p><br></li><li><p><span>Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</span></p><br></li><li><p><span>Solid understanding of the end-to-end agentic AI lifecycle from building agents in&nbsp; frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</span></p><br></li></ul><p><br><span>Application Development &amp; Operations:</span></p><br><ul><li><p><span>Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</span></p><br></li><li><p><span>Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</span></p><br></li><li><p><span>Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</span></p><br></li><li><p><span>Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</span></p><br></li><li><p><span>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</span></p><br></li></ul><p>Requisite Education and Experience / Minimum Qualifications:</p><br><ul><li><p><span>Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.</span></p><br></li><li><p><span>Education: A Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.</span></p><br></li><li><p><span>Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).</span></p><br></li><li><p><span>DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.</span></p><br></li><li><p><span>MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.</span></p><br></li></ul><p><span>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</span></p><br><p><u><b>DataRobot Operating Principles:</b></u></p><br><ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul><p><br><span>Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. <b>At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.</b> We’d love to have a conversation with you and see if you might be a great fit.&nbsp; </span></p><br><p><span>DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.</span></p><br><br><p><b>Use of Artificial Intelligence in Our Hiring Process</b></p><br><br><p>DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.<br></p><br><p><span>All applicant data submitted is handled in accordance with our </span>Applicant Privacy Policy<span>.</span></p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Role Overview As a Business Process &amp; AI Transformation Consultant , you will help organizations reimagine business processes through the adoption of Artificial Intelligence (AI), automation, and emerging technologies. You will assess industry trends, identify transformation opportunities, and design future-state operating models that integrate AI at scale. Working closely with business and technology leaders, you will define practical, scalable transformation strategies that drive operational efficiency, innovation, and business value.</p><p>Key Responsibilities</p><ul><li>Assess industry trends, market dynamics, and emerging technology developments to identify opportunities for AI-driven business transformation.</li><li>Analyze current business processes and operating models to identify areas for optimization through AI and intelligent automation.</li><li>Design future-state business processes that leverage AI, automation, and digital technologies to improve efficiency, effectiveness, and customer outcomes.</li><li>Define AI integration points across business processes, systems, workflows, data sources, and decision-making activities.</li><li>Develop detailed process transformation designs, including system interactions, data flows, automation requirements, and human-machine collaboration models.</li><li>Recommend operating model changes that support sustainable AI adoption, including governance structures, roles, responsibilities, and performance measures.</li><li>Facilitate alignment between business and technology stakeholders throughout transformation initiatives.</li><li>Provide subject matter expertise on industry- and function-specific requirements, regulations, governance frameworks, and business practices.</li><li>Support the development of transformation roadmaps, implementation strategies, and change management approaches.</li><li>Communicate complex process, technology, and AI design decisions to senior leadership in a clear, business-focused manner.</li><li>Collaborate with cross-functional teams to ensure AI-enabled solutions are practical, scalable, and aligned with organizational objectives.</li><li>Promote best practices for AI adoption, process excellence, and continuous improvement across transformation programs.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Basic Qualifications</p><ul><li>4-7 years of experience in Business Transformation, Process Consulting, Management Consulting, Digital Transformation, Intelligent Automation, or related fields.</li><li>Experience analyzing and redesigning business processes to improve operational performance and business outcomes.</li><li>Knowledge of AI, Generative AI, intelligent automation, process optimization, and digital transformation principles.</li><li>Experience developing target operating models, process frameworks, and transformation roadmaps.</li><li>Strong understanding of business process design methodologies and process improvement techniques.</li><li>Experience facilitating workshops and collaborating with business and technology stakeholders.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p>Preferred Qualifications</p><ul><li>Experience supporting AI, automation, or enterprise transformation initiatives across one or more business functions or industries.</li><li>Familiarity with process mining, workflow automation, business architecture, and operating model design.</li><li>Knowledge of AI governance, compliance, risk management, and responsible AI practices.</li><li>Experience documenting future-state processes, data flows, and system integration requirements.</li><li>Strong stakeholder management and executive presentation skills.</li><li>Experience working with transformation tools, process modeling frameworks, and enterprise technology platforms.</li><li>Relevant certifications in Business Analysis, Process Excellence, Lean Six Sigma, Change Management, or Digital Transformation are preferred.</li></ul>

Tech for People Unlocks the Future<br><br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous<br><br>Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.<br><br>Ambition and results<br><br>Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.<br><br>Learning and innovating<br><br>Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.<br><br>Caring and sharing<br><br>A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br><br>At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,<br><br>Values:<br><br> Respect Frankness Passion<br><br><br>Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.<br><br>To know more about us, please visit: www.devoteam.com<br><br>Job Description<br><br>We are seeking a visionary Dev Ops Engineer to lead a large-scale Dev Ops transformation for a governmental company. Unlike a standard engineering role, this position requires a strategic leader capable of assessing current maturity levels, designing a target operating model, and driving a cultural shift toward Dev Sec Ops. As a Dev Ops will be responsible for the end-to-end lifecycle from assessing the current state to the implementation of a secure, automated framework while coaching the client’s team to ensure sustainable capability building.<br><br>Key Responsibilities<br><br> Dev Ops Assessment & Roadmap Design Maturity Assessment: Conduct a comprehensive Current State Analysis of existing tools,practices, and security posture utilizing industry standards like DORA metrics to identify the current Dev Ops maturity level. Gap Analysis: Identify operational gaps, user pain points, and security vulnerabilities, delivering a detailed "Current State Analysis Report" and "Security Maturity Assessment Report."Action Planning: Propose strategic recommendations and a phased Dev Sec Ops Implementation Roadmap, outlining tasks, expected outcomes, and an "Action Plan" to bridge identified gaps. Dev Ops Framework Development & Governance Target Operating Model (TOM): Design and implement a Dev Sec Ops Framework that includes detailed policies, standards, governance models, and interaction models outlining roles and responsibilities. Security Integration: Develop an "Application Security Service Catalog" and integrate security best practices (Shift-Left) into the pipeline, ensuring compliance with governance policies. Release Governance: Establish rigorous release governance policies to ensure strict adherence to standards and prepare compliance reports. Cultural Transformation & Capability Building Change Leadership: Lead the implementation of changes, driving a cultural shift in mindset toward collaboration, automation, and shared responsibility between development and operations teams. Coaching & Mentoring: Provide hands-on coaching to build internal team capability, ensuring knowledge transfer and sustainable improvements beyond the consultancy period. Training Programs: Develop and deliver "Training and Awareness Program Materials" tailored to different roles to ensure the seamless adoption of new tools and processes. Technical Implementation & Automation (Hands-on) CI/CD Optimization: Oversee the design of secure CI/CD pipelines on Azure Dev Ops, ensuring the automation of builds, testing, and database procedures. Secrets Management: Implement Vault for advanced secrets management, ensuring secure access control, secret rotation, and data protection policies. Infrastructure as Code (IaC): Lead the automation of infrastructure using Terraform or Azure Resource Manager (ARM) to ensure consistency and scalability. Monitoring & Observability: Define a "Monitoring and Reporting Framework" to provide full visibility into security and operational metrics, optimizing performance and minimizing downtime. <br><br><br>Qualifications<br><br>Strategic Expertise: Proven experience conducting Dev Ops maturity assessments (DORA) and defining target operating models (TOM) for enterprise or government clients. Technical Proficiency:Deep expertise in Azure Dev Ops (Boards, Repos, Pipelines). Strong knowledge of Vault for secrets management. Hands-on experience with IaC tools (Terraform/ARM) and scripting (Shell). Leadership: Demonstrated ability to lead cultural change, mentor teams, and manage stakeholders in a high-compliance environment. Documentation: Exceptional skill in creating high-level strategic documentation (Roadmaps, Frameworks, Gap Analysis Reports

<h3 >About the Role</h3> <p >YO HR Consultancy is seeking an <strong >Arabic Language Expert</strong> to join our network of contractors in Saudi Arabia. This fully remote, hourly paid contract role involves reviewing and generating high-quality bilingual training content, primarily focusing on AI-generated Arabic and English responses. The expert will evaluate reasoning quality, problem-solving methodologies, and provide feedback to enhance AI model accuracy and clarity.</p> <h3 >Key Responsibilities</h3> <ul > <li >Review AI-generated Arabic and English responses, assessing solutions for accuracy, clarity, and adherence to prompts.</li> <li >Generate high-quality bilingual training content and develop detailed prompts across various topics to guide AI learning.</li> <li >Evaluate reasoning quality and step-by-step problem-solving, providing expert feedback to improve AI model output.</li> <li >Identify errors in methodology or conceptual understanding and fact-check information using reputable sources.</li> <li >Write high-quality explanations and model solutions for AI training.</li> <li >Rate and compare multiple AI responses based on correctness and reasoning quality to optimize AI performance.</li> <li >Test AI models for potential inaccuracies or biases, validating their reliability across use cases.</li> </ul> <h3 >Required Qualifications</h3> <ul > <li >Bachelor’s degree or higher in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field.</li> <li >Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred).</li> <li >Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.</li> </ul> <h3 >Essential Skills</h3> <ul > <li >Excellent attention to detail and the ability to apply detailed rubrics consistently in high-volume work.</li> <li >Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines.</li> <li >Ability to identify reasoning gaps, methodological errors, and unclear explanations, even when language is fluent.</li> <li >Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred.</li> <li >Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.</li> </ul> <h3 >Work Arrangement</h3> <p >This is an hourly paid, fully remote contractor position offering flexible work-from-anywhere hours. Candidates must be comfortable working independently in a remote, asynchronous environment with reliable availability and communication.</p> <h3 >Future Opportunities</h3> <p >Please note that there is no immediate project for this specific role. However, qualified candidates will be among the first experts contacted by YO HR Consultancy when relevant opportunities arise. This also provides access to future projects available through our expert network.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>This role builds and runs the infrastructure our Generative AI products depend on: the pipelines that ship code, the platforms that run services and models, and the controls that keep all of it secure and reliable. AI workloads bring their own demands. GPUs, model serving, inference autoscaling, and token cost all shape the work, and you have run workloads like these before. You should be comfortable owning infrastructure as code, CI/CD, observability, and security on AWS, and ready to set the operational standards a growing team will lean on.</p><p>WHAT YOU WILL DO</p><ul><li>Write and maintain infrastructure as code so environments are reproducible, reviewable, and quick to recover.</li><li>Own CI/CD: the pipelines that build, test, scan, and deploy applications, agents, and model-serving services.</li><li>Run the container platform (EKS, ECS, or Fargate) and the deployment workflows on top of it, including GitOps where it fits</li><li>Stand up the runtime for AI workloads: GPU capacity, model serving such as vLLM, Triton, or TGI, inference autoscaling, and the gateways and caching that sit in front of the models.</li><li>Manage API gateways, networking, load balancing, DNS, and certificates so services are exposed safely and predictably.</li><li>Own secrets, identity, and least-privilege access across every environment.</li><li>Run databases in production: clustering, replication, failover, backups, and recovery.</li><li>Build monitoring into everything, including token usage and GPU utilisation, with alerting and clear service objectives.</li><li>Lead reliability and security practice: incident response, policy as code, vulnerability and container scanning, and cost discipline, which matters once GPUs are in the mix.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Eight or more years in DevOps, SRE, or infrastructure engineering overall. That includes hands-on experience supporting AI or ML workloads in production, which can be a more recent part of your backgroun.</li><li>Strong infrastructure as code with Terraform or OpenTofu, including module design and remote state. Experience Strong infrastructure as code with Terraform or OpenTofu, including module design and remote state. Experience with HCP Terraform (formerly Terraform Cloud) is a plus.</li><li>Configuration management with Ansible.</li><li>Solid AWS experience across compute, networking (VPC, subnets, security groups, load balancers, Route 53), IAM, and storage</li><li>Strong CI/CD with GitHub Actions, including reusable workflows and careful handling of credentials.</li><li>Containers and orchestration: Docker with Kubernetes (EKS preferred), Helm, and a registry such as ECR.</li><li>API gateway experience with Kong or Amazon API Gateway, including auth, rate limiting, and routing.</li><li>Database operations including clustering and high availability, with RDS or Aurora, PostgreSQL, and a cache such as Redis or ElastiCache</li><li>Secrets management with HashiCorp Vault, AWS Secrets Manager, or Parameter Store.</li><li>Observability with Prometheus, Grafana, CloudWatch, and OpenTelemetry, or close equivalents.</li><li>Comfort in Linux and scripting with Bash and Python.</li></ul><p></p></section>

ABOUT:Owns quality for AI-native applications — functional testing plus the AI-specific evaluation (accuracy, drift, hallucination).<br>KEY RESPONSIBILITIESBuild test plans and automation for AI-native application features (functional + AI-specific) Design evaluation harnesses for model/agent outputs — accuracy, consistency, hallucination rate Run regression testing across model/prompt/config changes to catch silent quality drift Red-team AI features for edge cases and adversarial inputs where relevant Build automated eval pipelines integrated into CI/CDPartner with AI Architects to define testability requirements before build starts Own the quality gate before any AI feature ships to production Communicate quality risk to delivery leadership in terms they can act on Train delivery teams on AI-specific testing practices Own the evals framework for the practice — golden datasets, scoring rubrics, LLM-as-judge calibration, and versioned benchmarks per use case Define eval acceptance thresholds per engagement and gate releases on them Build eval engineering tooling — dataset curation, trace capture, offline/online eval runs, and dashboards delivery teams can read Instrument production evals and drift monitoring, feeding failures back into the golden datasets<br>REQUIREMENTS & SKILLS5–9 yrs QA/test engineering, with 2+ yrs testing AI/ML-powered features specifically Strong test automation skills (Python-based frameworks, CI/CD integration) Understands AI-specific failure modes — hallucination, bias, drift, non-determinism — and designs tests for them Statistically literate enough to interpret model evaluation metrics, not just pass/fail results Familiarity with red-teaming methodologies for AI systems Clear, assertive communicator — willing to block a release over a quality concern Detail-oriented and methodical under delivery-timeline pressure Collaborative but independent — doesn't rubber-stamp under delivery pressure Explains quality risk in business-impact terms, not just technical jargon Hands-on evals engineering — builds and maintains eval suites with frameworks such as Open AI Evals, Ragas, Deep Eval, Lang Smith, Azure AI Foundry evaluations Designs golden datasets and rubrics, and calibrates LLM-as-judge scoring against human review Understands RAG and agent eval metrics — groundedness, retrieval precision/recall, task completion, tool-call correctness, cost/latency Experience wiring evals and drift monitoring into CI/CD and production observability

<h3 >About SolutionMall</h3> <p >SolutionMall operates as a global B2B platform, providing professional products and integrated technical solutions across various industries. The company supports customers from initial requirement discovery through product selection, solution and supplier coordination, RFQ support, and project implementation and delivery. In the commercial appliance sector, SolutionMall offers comprehensive solutions including commercial kitchen equipment, laundry equipment, refrigeration, HVAC and ventilation systems, catering to hotels, restaurants, supermarkets, healthcare facilities, and commercial buildings.</p> <h3 >The Role: Commercial Appliance Solutions Sales Representative / Specialist</h3> <p >SolutionMall is seeking a <strong >Commercial Appliance Solutions Sales Representative / Specialist</strong> to drive business development within the Saudi Arabian market. This part-time role focuses on expanding customer opportunities, understanding specific purchasing requirements, and facilitating RFQ and quotation processes. The position involves promoting commercial appliance solutions to a diverse network of customers, distributors, and project-related partners. This is a flexible, performance-based cooperation opportunity centered on B2B business development, distinct from retail sales of household appliances.</p> <h3 >Key Responsibilities</h3> <ul > <li >Develop customer and channel opportunities for commercial appliance solutions.</li> <li >Communicate effectively with customers, distributors, contractors, and procurement teams.</li> <li >Promote commercial kitchen, refrigeration, laundry, HVAC, ventilation, and related commercial equipment solutions.</li> <li >Understand customer requirements to support suitable product and solution matching.</li> <li >Follow up on RFQs, quotations, and project opportunities.</li> <li >Coordinate communication between customers, SolutionMall teams, and suppliers.</li> <li >Support commercial discussions, order progress, and project development.</li> <li >Provide market feedback regarding customer needs and demand trends.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >A minimum of <strong >5 to 10 years of experience</strong> in sales or business development, preferably within the commercial appliance or B2B technical solutions sector.</li> <li >Proven capability in developing customer opportunities and managing sales cycles.</li> <li >Strong interpersonal and communication skills for engaging with diverse stakeholders.</li> <li >Ability to understand and match customer requirements with appropriate solutions.</li> </ul> <h3 >Compensation and Cooperation Model</h3> <p >This role operates on a flexible cooperation model, with compensation directly tied to performance and project contribution. Cooperation terms and remuneration will be determined based on actual contributions to customer development, project opportunities, RFQ progress, and overall business results. Specific details will be confirmed prior to the commencement of cooperation or project work.</p> <h3 >Work Location</h3> <p >This part-time role is focused on business development within the <strong >Saudi Arabian market</strong>.</p>

Data Architect We are building a Saudi firm for Saudi Arabia’s future. Together with our clients, we create lasting impact that advances Vision 2030. We’re looking for outstanding Saudi talent to join us in building a trusted, high-quality national brand. <br>The Data Architect will own the data and metadata architecture for a data management office activation programme at a government entity in Riyadh, covering the technical solution design, the infrastructure and capacity sizing for an on-premises deployment, the target metadata architecture and model, and the data entity and lineage design across the entity's systems.<br>Key Responsibilities· Solution Architecture. Own the comprehensive technical solution document, produced jointly with the client's information technology and cybersecurity functions, defining the architecture components and their integration with the entity's data sources, and building the technical solution to recognized standards.· Infrastructure Sizing and Capacity Design. Study, estimate and analyze the computing and storage required to operate the platform, covering servers, processors, memory and storage capacity including projected growth over the delivery period. Specify hardware fully compatible with the client's private cloud, which runs Cisco UCS and Net App storage. Inventory every licence needed to run the solution inside the client environment and give technical recommendations on scalability, sustainability and operational efficiency.· Metadata Architecture and Modelling. Design and document the metadata management architecture and framework in line with best practice. Design and develop the target metadata structure covering metadata sources, the central repository, metadata flows and the metadata model. Establish and activate the central metadata repository inside the platform, and build the metadata model that defines data assets, ownership, usage, location and relationships.· Data Modelling and Lineage. Produce the entity relationship diagrams that document the data entities across the client's systems and how they relate to one another. Design and document metadata flows and data lineage, linking them back to source systems and reflecting them inside the data governance solution.· Current and Target State Architecture. Analyze the existing data and metadata architecture within the enterprise architecture, and define and document the target data architecture aligned to the client's needs and to the National Data Management Office standards for the Data Architecture and Modelling domain.· Technical Advisory and Knowledge Transfer. Work alongside the data management, data quality and data governance specialists on the engagement, advise the client's technical and operational departments, and transfer the architecture knowledge to client staff so the design remains maintainable in house after the engagement ends.<br>Requirements and Qualifications· Nationality, Residency and Language. Saudi National preferred. Candidates must hold valid residency permitting full-time on-site employment in the Kingdom. Working fluency in Arabic and English is required, as all project deliverables are produced in both languages.· Location Commitment. Based full-time on site in Riyadh, five days a week Sunday to Thursday, for the first three months of the implementation phase, and thereafter on call as required across the remainder of the programme. Remote working is not available for this role.· Experience. A minimum of 3 years in data architecture. Candidates must have delivered at least 5 data architecture projects and must be able to name them, as this is an explicit tender requirement evidenced through the submitted CV.· Education. Bachelor's degree in information technology or a closely related discipline.· Certification. A globally recognized professional certification in data management. The DAMA Certified Data Management Professional (CDMP) is the preferred credential and the certificate number must be available for verification.· Technical Skills. Hands-on experience with enterprise data management and data governance platforms, with Informatica strongly preferred, specifically Axon, Enterprise Data Catalog and Data Quality. Proven capability in designing and building data structures and technical architectures, metadata modelling, data lineage, entity relationship modelling, and capacity sizing for on-premises deployments.· Sector Expertise (desired). Prior delivery inside Saudi government entities, and working familiarity with the National Data Management Office Data Management and Personal Data Protection Standards, the National Data Index and the Personal Data Protection Law, is a significant advantage.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>This role sits within the Residential Business Unit at Qiddiya Investment Company and supports senior leadership in shaping the future rollout of a large and evolving residential portfolio.<br> The Director - Strategic Market Analysis will provide the market intelligence and quantitative analysis required to guide product strategy, development phasing and investment decisions across multiple residential masterplans.<br> The role will assess economic, demographic, regulatory and financing trends affecting the Riyadh residential market, build and maintain supply-and-demand models, and translate market data into clear recommendations on product mix, pricing, positioning and rollout timing.<br> Working closely with Development Strategy, Development, Investment, Design and senior management, the role will also support highest and best-use assessments, scenario analysis and management presentations for key decision-making forums.<br> Responsibilities Assess and segment Riyadh residential market to inform product rollout Monitor, assess, and report on any shifts and trends in residential market dynamics; including changes in regulation, legal, financing, etc.<br>. Identify high value products to increase marketability and yield Create and maintain a supply/demand model that focuses on residential assets Scenario analysis on residential demand Develop high level best-use analysis for various masterplans and plots Create presentations for N-1 panels, management, and inputs for BoD presentations.<br> We are looking for a highly analytical real estate strategy professional with strong experience in residential market analysis, market sizing, demand forecasting and highest and best-use studies.<br> The ideal candidate will combine management consulting or real estate advisory experience with a strong understanding of real estate products and development economics.<br> They should be comfortable working with complex datasets, building robust analytical models and communicating clear, commercially relevant insights to senior stakeholders.<br> Bachelor's degree in economics, finance preferred, engineering acceptable.<br> MBA degree, Masters in Economics or Master in Finance preferred.<br> Extensive management consulting or real estate consulting background required (minimum of 3 years, 6+ years preferred) Strong understanding of real estate products through consulting engagements and/or working for a firm in the real estate value chain required Worked extensively on supply/demand models Created highest and best use models and trade area assessments</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

LICHI is a rapidly growing women’s clothing brand founded in 2012. The design bureau is located in the very center of Europe, Frankfurt am Main. The brand conducts its business through a network of offline stores, own online store lichi.com, as well as marketplaces and partner stores worldwide.<br>We are a team of professionals obsessed with fashion and committed to success of our brand. We value warm atmosphere within the company just as much as we value the performance and reaching new heights. We are always open to new perspectives and strive to create the best conditions for our employees.<br>Retail sales assistant requirements:Provide outstanding customer service by understanding and exceeding customer needs. Drive sales through product knowledge, enthusiastic engagement, and effective selling techniques. Maintain visual merchandising standards to ensure an attractive and organized store environment. Work collaboratively within a team to achieve daily goals and ensure smooth store operations. Efficiently handle multiple tasks, including processing transactions and managing customer inquiries.<br>Skills & proficiencies:A genuine passion for helping people and creating positive customer interactions. Excellent communication and interpersonal skills. A reliable, detail-oriented team player with a positive attitude. The ability to multitask, adapt quickly, and thrive in a fast-paced environment. Flexibility to work a variety of shifts, including mornings, evenings, and weekends. English language proficiency at a B2 level or higher. Previous retail experience is a plus, but a willingness to learn is most important.<br>We are waiting for you!<br>We offer:A chance to grow with a successful, expanding company. Comprehensive training and opportunities for professional development. Employee discount on company products. A collaborative and energetic team culture.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Store Manager you will be a FENDI Ambassador, promoting the brand DNA in the market while exceeding sales targets and KPIs. Through a constant coaching and motivation of your team, you will strengthen the relationship with the clients by promoting FENDI history, craftmanship, quality of materials and creativity, always ensuring that all the standards in terms of performance, processes and procedures are compliant with our vision of excellence and luxury.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>7-10 years experience in Fashion/Luxury Sales</li><li>5-7 years experience in a top-location management of a retail luxury business</li><li>Bachelor s or master s Degree</li><li>Strong selling and communication skills are necessary</li><li>Excellent relationships skills, self-reliant, friendly and patient</li><li>Leadership, confidence, organization, professionalism</li><li>Strong customer orientation skills</li><li>Goal oriented approach, multitasking</li><li>Computer skills and Retail management system knowledge</li><li>Strong knowledge and/or interest for fashion/luxury industry</li><li>Fluent English. Additional languages are a plus.</li></ul><p></p></section>

Electrical Engineer – BIMFreshers / 2–3 Years Experience | Saudi Nationals Only Company: Pinnacle Infotech Location: Riyadh / Jeddah, Saudi Arabia Employment Type: Full-Time Workplace Type: On-site Experience: Freshers to 3 Years Nationality Requirement: Open to Saudi Arabian Nationals Only About Pinnacle Pinnacle Infotech promotes inclusive growth within an agile and diverse work environment. With over 30 years of global experience, more than 3,400 professionals, 15,000 successfully completed projects across 43 countries, and over 5,000 clients, Pinnacle is a global leader in Building Information Modeling (BIM), digital engineering, and Virtual Design and Construction (VDC) solutions. At Pinnacle, employees receive opportunities for structured learning, professional development, exposure to cutting-edge technologies, and involvement in impactful international projects. Guided by our E. A. R. T. H. values, we encourage Pinnaclites to embrace innovation, celebrate individuality, and grow together. Website: https://pinnacleinfotech.com/Job Summary We are seeking Saudi Arabian Electrical Engineering graduates and professionals with 0–3 years of experience and a strong interest in Building Information Modeling (BIM) to join our team in Riyadh or Jeddah. This role provides an excellent opportunity to develop a career in electrical BIM, digital construction, electrical system design, and multidisciplinary project coordination. Fresh graduates will receive structured training, while candidates with relevant experience will have the opportunity to contribute directly to ongoing BIM projects. Key Responsibilities Assist in developing accurate 3D BIM models for electrical systems and components. Support the modelling of lighting systems, power distribution systems, cable trays, conduits, electrical panels, and equipment. Assist in modelling fire alarm, emergency lighting, earthing, lightning protection, and low-voltage systems. Support the preparation of electrical drawings, shop drawings, layout drawings, schematics, and detailed design documentation. Participate in BIM coordination and clash-detection activities with architectural, structural, mechanical, plumbing, and other project teams. Collaborate with multidisciplinary teams to ensure electrical design requirements are accurately reflected in BIM models. Update BIM models and drawings based on design revisions, technical inputs, and project requirements. Assist in quantity take-offs, model reviews, and preparation of project deliverables. Ensure BIM models and drawings comply with project standards, electrical codes, BIM guidelines, and quality requirements. Support project teams in identifying and resolving electrical modelling and coordination issues. Maintain proper project documentation and follow established BIM workflows, standards, and processes. Requirements Saudi Arabian nationality is mandatory. Bachelor’s degree in electrical engineering or a related field. Fresh graduates and candidates with up to 3 years of relevant experience are encouraged to apply. Basic to good understanding of electrical engineering principles, building electrical systems, and construction methods. Knowledge of lighting, power distribution, cable routing, earthing, fire alarm, low-voltage systems, and electrical services is preferred. Familiarity with Autodesk Revit, Auto CAD, Navisworks, or other electrical design and BIM software is preferred. Strong interest in BIM, digital construction, and engineering technology. Ability to understand electrical drawings, line diagrams, schematics, and technical documentation. Good analytical, communication, problem-solving, and teamwork skills. Willingness to learn new BIM tools, electrical standards, and project workflows. Basic knowledge of Microsoft Office applications. What We Offer Structured BIM training and professional development opportunities. Exposure to international projects and multidisciplinary engineering teams. Hands-on experience with advanced BIM and digital construction technologies. Career growth opportunities in electrical BIM and MEP engineering. Competitive salary and employee benefits. Professional, inclusive, and collaborative working environment.

Key Accountability Areas<br>BI, Data Visualization & AI-based Automations Design, build, and maintain scalable dashboards and automated reporting pipelines covering fleet performance, delivery speed, order stacking, cost per delivery, and rider utilization Own the end-to-end data lifecycle: from raw data extraction (SQL, Big Query) through to business-ready visualizations (Tableau, Looker, Data Studio) Automate recurring logistics reports to reduce manual data pulling and free leadership time for decision-making Develop predictive models and forecasting tools for demand planning, supply crunch detection, and staffing efficiency Translate complex, large-scale datasets into clear, actionable recommendations for logistics and operations stakeholders <br>Logistics Optimization and Utilization Reduce delivery time across all stages: from order dispatch through to delivery, by identifying bottlenecks across the multiple DT sub-metrics Collaborate with dispatching and algorithm teams to enhance order assignment logic and improve on-time delivery rates Monitor and improve order stacking efficiency without compromising delivery SLAsTrack NPS and customer experience metrics tied to logistics performance, identifying drivers of dissatisfaction Own analysis of logistics failures across vendor operations, rider operations, and customer touchpoints; recommend and execute fixes Collaborate with workforce planning to optimise shift models, staffing levels, and on-demand-to-shift model transitions Identify demand patterns and partner with growth and marketing teams to improve forecasting accuracy Support rider hiring, onboarding, and payment process analysis to reduce attrition and improve supply reliability<br>Product Operations – Local & Global Rollouts Act as the logistics liaison between local business stakeholders, local operations teams, and global product teams Gather operational pain points, feature requests, and platform feedback; translate these into structured business cases for product prioritisation Lead go-to-market (GTM) execution for new logistics initiatives: coordinating timelines, stakeholders, training materials, and deployment playbooks. Support rollout and adoption of tools, ensuring operational readiness and post-launch performance tracking Track rollout KPIs, adoption rates, and feedback loops, and present findings to product and logistics leadership<br>Logistics Issue Resolution & Stakeholder Support Serve as the first escalation point for logistics issues: diagnosing root causes, mobilizing fixes, and communicating resolution timelines. Manage performance during high-demand periods, including holidays, national days, and weekends, with proactive monitoring frameworks. Coordinate with central/regional logistics and product teams (e.g. Delivery Hero central) to implement platform-wide improvements locally. Minimize wastage per order through operational audits and targeted efficiency initiatives. Provide training, change management support, and communications for stakeholder transitions tied to new logistics models or tools<br>QUALIFICATIONS/REQUIREMENTS<br>Knowledge and Experience5–8 years of experience in logistics analytics, operations, product operations, or a related field, preferably within food delivery, quick commerce, or a high-growth tech platform. Proven track record in at least two of: BI/analytics delivery, logistics optimization, and product rollout execution. Experience working in multi-market or global organizations with cross-functional, matrixed team structures. Exposure to rider/fleet operations, last-mile delivery dynamics, and demand-supply management is strongly preferred Exposure to A/B testing frameworks and statistical significance analysis in an operational context. Advanced SQL proficiency, can write complex queries from scratch and independently pull your own data. Strong experience with data visualization platforms: Tableau, Looker, Google Data Studio, or equivalent. Comfortable with Python or R for automation, modeling, or data transformation. Familiarity with project management and collaboration tools: Jira, Confluence, Notion, Asana <br>Education and Certifications Bachelor's degree in Engineering, Supply Chain, Operations Management, Data Science, Computer Science, or a related quantitative field. Master's degree in a relevant field is a plus

Our Subsidiary Nabeh is looking for an Agentic AI Engineer to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.<br><br>Key Responsibilities:<br><br>Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms Collaborate with cross-functional teams to design and deliver complete AI solutions for customers<br><br>Requirements<br><br>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions Preferably 5+ years of overall professional software engineering experience Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices<br><br>Job Location: HQ

Digital Transformation Leader - Adobe AEM is required by our global consultancy client<br>CONTRACT ROLE<br>This role will own the AEM transformation partnership from vision to value - shaping strategy, winning belief, enabling execution, and embedding repeatable excellence. As an embedded leader within the customer’s transformation programme, you will bridge commercial ambition with delivery implementation, strengthen cross-functional alignment, and remove obstacles to momentum. You will also develop and scale our transformation IP, methodologies, and standard procedures across our customer base to elevate quality and unlock consistent success!<br>Minimum Qualification:Proven experience owning major client transformations from strategy through execution, ideally in professional services. A strong record of securing and growing large-scale business tied to major platform investments. Previous experience advising customers on Adobe AEM platform adoption Experience developing others and uplifting capability across consulting, transformation, or delivery teams. Ability to influence and encourage senior executives, securing belief, investment, and alignment. Critical thinking grounded in real-world delivery, including the ability to translate AI-enabled futures into actionable plans. Expertise in transformation disciplines - operating model development, governance, change, and benefits achievement. Comprehensive knowledge of the organisational challenges of AI and agentic workflows, along with the assurance to lead clients through them. Outstanding communication, facilitation, and storytelling skills that drive clarity and confident decisions. A collaborative leadership style that works fluidly across pre-sales, delivery, partners, and executives. A relentless focus on outcomes, adoption, and realised value - never just activity!<br>Additional Skills/Proven experience: Connect commercial goals and delivery efforts, ensuring the vision sold is the vision delivered. Develop strong, industry-relevant points of view and convert them into executable transformation roadmaps and success plans. Secure and sustain C-suite confidence, building trusted advisor relationships grounded in clarity, insight, and strategic mentorship. Guide customers in preparing for transformation, covering operating model, capability, governance, and the influence of AI and agentic technologies. Build propositions across Content Supply, Customer Experience, and AI & Innovation in collaboration with the Transformation Delivery team. Partner with licence and services sellers to win groundbreaking platform deals and secure the services partnerships that anchor long-term value. Orchestrate delivery teams, architects, and partners, ensuring build integrity, sequencing, and measurable progress. Act as a key driver in the customer’s transformation delivery programme, modelling standard methodology, resolving blockers, and accelerating momentum. Establish governance and risk routines that keep complex programmes aligned, accountable, and on track.

Company Description Starways is a Saudi technology partner specializing in complex government digital transformation initiatives. Since 2009, the company has delivered over 100 projects for more than 70 government clients, maintaining a 99% on-time delivery rate. Starways designs and operates government-grade platforms that comply with SDAIA, PDPL, NCA, and ISO frameworks, supporting critical public services from housing and inspection to trade licensing and citizen digital journeys. Its core capabilities span Digital Government Platforms, AI & Data, Cloud & Dev Ops, Enterprise Applications, RPA, and Technical Outsourcing. Starways is trusted by leading Saudi government entities, including the Ministry of Housing, NHC, ELM, Ministry of Energy, SASO, DGA, and many others.<br>Role Description This is a full-time, on-site Data Scientist role based in Riyadh, Saudi Arabia. The Data Scientist will work closely with cross-functional teams to design and implement data-driven solutions that support government platforms and digital services. Day-to-day responsibilities include collecting, cleaning, and modeling data; performing statistical and exploratory analyses; and building predictive and machine learning models to address complex business and policy questions. The role involves creating dashboards and visualizations to communicate insights to technical and non-technical stakeholders, as well as documenting methodologies and presenting findings in a clear, actionable manner. The Data Scientist will contribute to continuous improvement of data pipelines, collaborate on AI and analytics initiatives, and help ensure that solutions meet regulatory and compliance requirements.<br>Qualifications<br> Candidates should possess strong skills in Data Science and Data Analytics for building models, deriving insights, and solving complex analytical problems. Candidates should possess practical experience in Data Analysis and Statistics for hypothesis testing, experimental design, and rigorous quantitative evaluation. Candidates should possess proficiency in Data Visualization for designing dashboards and reports that clearly communicate trends and performance indicators. Proficiency in programming languages such as Python or R, and experience with data tools (e.g., SQL, Pandas, Num Py, scikit-learn, or similar frameworks). Experience with machine learning techniques and model lifecycle, including feature engineering, evaluation, deployment, and monitoring. Familiarity with cloud platforms and data infrastructure (e.g., AWS, Azure, or GCP), and version control tools such as Git. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly to diverse stakeholders. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field; experience in government or regulated industries is an advantage.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <b>Job Summary</b> <br>Join Accenture and help clients discover new possibilities and make impactful decisions. In this role, you will collaborate with teams, contribute to key decisions, and help solve business challenges across functions. You will support transformation initiatives by applying strategic thinking, business model expertise, and data-driven insights to drive meaningful progress.</p> <p> <b>Key Responsibilities</b> </p> <ul> <li>Conduct qualitative and quantitative analysis to support strategic initiatives.</li> <li>Evaluate global, economic, technology, and social trends to generate business insights.</li> <li>Apply functional and industry knowledge to define and answer strategic business questions.</li> <li>Develop recommendations for growth opportunities and high-performance operating models.</li> <li>Design solutions for business, technology, workforce, and operational challenges.</li> <li>Help define strategic programs across business functions to improve performance.</li> <li>Collaborate with multiple teams and stakeholders to support project delivery and transformation outcomes.</li> <li>Contribute to decision-making and problem-solving for both immediate and cross-functional teams.</li> </ul> <p> </p> <p> </p> <p> </p> <p> <b>Qualifications</b> <br> <b>Required:</b> </p> <ul> <li>Master proficiency in Business Transformation.</li> <li>Master proficiency in Business Model Strategy.</li> <li>Minimum of 2 years of relevant experience.</li> <li>Bachelor s degree in a relevant field.</li> </ul> <p> <b>Preferred:</b> </p> <ul> <li>Master proficiency in Business Case Development.</li> <li>Advanced proficiency in Change Management.</li> <li>Intermediate proficiency in Data Analysis.</li> <li>Advanced proficiency in Stakeholder Engagement.</li> <li>Intermediate proficiency in Process Improvement.</li></ul></div></section>