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Job Purpose<br>The position is responsible for overseeing the strategic, operational, and financial performance of a portfolio of civic assets, which may include hospitals, schools, and other community-serving facilities. This role bridges asset operations and investment management, ensuring that all facilities deliver high standards of service, operational efficiency, regulatory compliance, and sustainable financial performance. The role ensures assets are effectively maintained, operated, and optimized to support community needs while delivering long-term value for the asset owner.<br>Job Responsibilities Oversee the operational and financial performance of a portfolio of civic assets, with a key focus on healthcare & education Monitor asset performance indicators such as occupancy/utilization levels, service delivery standards, operational efficiency, lifecycle costs and operator performance. Develop and execute annual asset management and business plans aligned with ownership objectives. Conduct regular performance reviews with facility operators. Ensure assets are maintained in accordance with contractual requirements, regulatory standards, and operational best practices. Policies, Systems, Processes, Procedures, Standards and Reports Oversee the smooth handover of new assets from the project delivery team into operational management. Verify and secure all required documentation, warranties, asset registers, and maintenance plans during handover. Manage outsourced operations contracts, ensuring operators deliver services as per agreed KPIs, SLAs, and performance standards. Review operator reports, track performance, and ensure timely rectification of operational and maintenance issues. Prepare and manage annual operations and maintenance (O&M) budgets, including monitoring expenditures and approving invoices. Implement and maintain asset management policies, systems, processes, and standards across the civic asset portfolio. Ensure operators operate in line with approved procedures and reporting frameworks including all necessary authority requirements Maintain accurate asset data, lifecycle records, and performance reports to support asset management decision-making. Act as the main point of contact between operators, and internal stakeholders. Provide regular updates to senior leadership on asset performance, risks, lifecycle planning, and financial status. Safety, Quality & Environment Ensure all operators comply with company policies, health & safety standards, and regulatory requirements. Monitor compliance with applicable healthcare, education, and public safety regulations where relevant Review audit findings and implement corrective actions with contractors. Continuous Improvement Recommend improvements in asset management practices, maintenance strategies, contractor performance, and cost efficiency. Identify opportunities to optimize asset utilization, reliability, and lifecycle performance. Support adoption of asset management best practices (aligned to ISO 55000 where applicable).<br><br>Job Stakeholders (Relationship)<br>Internal Executive Leadership / Senior Management Project Delivery / Construction Teams Finance Department Procurement / Contracts Team Operations & Maintenance Support Teams Planning & Strategy Teams External Facility Operators Outsourced Maintenance Contractors / Service Providers PPP Operators / Concessionaires Regulatory Authorities / Government Agencies Local Municipalities / Utility Providers Consultants / Auditors End Users / Community Stakeholders<br><br>Job Requirements<br>Qualification and Experience Bachelor’s degree in Engineering, Facilities/Asset Management, or related field.10+ years of experience in infrastructure operations, contract management, or asset management. Experience managing civic, healthcare, education, or public sector assets is preferred. Skills Strong skills in vendor and contractor management, budgeting, and performance monitoring. Knowledge of lifecycle asset management principles. Excellent communication and stakeholder management skills. Job Context Requires a team player attitude and the flexibility to provide assistance where needed Robust and articulate communication skills, both verbal and written Sensitivity to and respect for the confidential nature of the subject matter of the job and the department Commitment to high standards of excellence and possess an uncompromising level of personal integrity High energy, charisma, team oriented, strong work ethic, problem-solving capabilities and follow through Requires excellent interpersonal skills and a high level of professionalism

<p>This role with Qiddiya is going to be lead the early planning and development of hotel and hospitality assets, ensuring that masterplanning, asset positioning, operator strategy, design requirements and commercial assumptions are aligned before transition into development execution. The role is focused on real estate development and asset creation, not hospitality consulting or hotel operations. Several hospitality assets are progressing into early-stage development. Dedicated hotel development expertise is required to align stakeholders, define each asset, establish viable project assumptions and position assets for successful delivery and long-term operational performance. This post is going to be closed on 28th Sep 2026.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead hotel and hospitality assets from concept, feasibility and positioning through project definition and development readiness.</li><li>Translate the destination vision and masterplan into clear hospitality asset strategies, development briefs, scope and delivery requirements.</li><li>Define hotel type, classification, brand positioning, target market, room mix, amenities and guest experience in line with market demand.</li><li>Lead market assessments, feasibility studies, business cases, development budgets and financial assumptions with investment and finance teams.</li><li>Drive hotel operator and brand selection, including RFPs, proposal evaluation, commercial assessment and support for management agreement negotiations.</li><li>Coordinate architects, designers, project managers, technical specialists and operators to embed operational requirements into the design.</li><li>Manage development risks, key decisions, approvals, schedules and stakeholder alignment before handover to execution teams.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Real Estate, Architecture, Engineering, Construction Management, Hospitality or a related field. A relevant master's degree is preferred. 8 to 12+ years of experience in hotel real estate development, mixed-use development, destination development or hospitality investment. Proven experience progressing hotel assets through feasibility, concept, planning, operator selection and design development stages. Experience working for a real estate developer, hotel developer, mixed-use developer or hospitality investment and development platform. Strong understanding of hotel development economics, operator agreements, brand standards, design coordination and development governance.</p>

The Hospitality Strategy Support role is ideal for an early-career professional passionate about the hospitality industry and strategic planning. The successful candidate will support hospitality strategy initiatives through research, data analysis, benchmarking, financial modeling, and market insights. Working closely with cross-functional teams, they will contribute to the evaluation of opportunities, operator assessments, and the development of innovative hospitality concepts that align with the organization's long-term vision and growth objectives.<br><br>Key Responsibilities<br><br>Prepare research reports, data analysis, and presentations Perform benchmarking analysis Support financial modeling and scenario planning Assist in operator due diligence and proposal reviews Track trends and contribute to innovation pipeline Collaborate with internal teams to ensure alignment with hospitality strategy<br><br>Requirements<br><br>Bachelor's degree in Hospitality Management, Business Administration, or a related field2+ years of experience in hospitality strategy, project management, or related roles<br><br>Benefits<br><br>Offering a comprehensive compensation and benefits package.

Lead the full life cycle delivery of hospitality developments (hotels, resorts, branded residences) from feasibility and concept design through procurement, construction, commissioning, operator handover, and opening. Key Responsibilities Lead project strategy, design management, procurement, construction, testing & commissioning, and operational handover. Coordinate owners, operators, consultants, contractors, and authorities. Ensure delivery to approved scope, budget, schedule, quality, HSE, and brand standards. Manage project controls, contracts (FIDIC), risk, change management, and reporting. Oversee mock-ups, FF&E coordination, snagging, commissioning, and soft opening readiness. Drive stakeholder decisions and resolve commercial and technical issues. Requirements Bachelor’s degree in Civil Engineering, Architecture, or related field.20+ years of project delivery experience, with 10+ years in hospitality projects. Proven delivery of full life cycle hotel/resort projects in KSA/GCC. Strong experience with hotel operators, branded standards, FF&E, and commissioning. Expertise in FIDIC contracts, Primavera P6, project controls, and stakeholder management. PMP/Chartered certification preferred.

<h3 >About the Role</h3> <p >Jackson Green Recruitment is seeking a <strong >Principal Senior AI Research Engineer</strong> for a full-time position in Riyadh, Saudi Arabia. This is a frontier-level individual contributor role with a focus on advanced AI systems for energy. The successful candidate will join a Saudi technology and engineering company that develops advanced systems across artificial intelligence, energy, critical infrastructure, security, and industrial technology.</p> <h3 >Role Purpose and Scope</h3> <p >This position is designed to help establish and lead the technical direction of a frontier AI research program, specifically as a Principal AI Research Engineer specializing in Energy Systems. The role is distinct from conventional machine learning engineering, operating at the intersection of advanced research, scientific computing, energy-system intelligence, and large-scale AI engineering. The company is expanding its operations with a multidisciplinary AI laboratory in Europe, bringing together advanced AI researchers, mathematicians, energy specialists, AI engineers, and software developers.</p> <h3 >Key Responsibilities</h3> <ul > <li >Define and lead research programs at the intersection of artificial intelligence, applied mathematics, scientific computing, and energy systems.</li> <li >Develop novel architectures, algorithms, training strategies, and evaluation methodologies for complex energy and industrial problems.</li> <li >Research advanced approaches including physics-informed neural networks, graph neural networks, neural operators, probabilistic modelling, representation learning, reinforcement learning, control-aware learning, and foundation models for time-series and sensor data.</li> <li >Design scientifically rigorous experiments, benchmarks, ablation studies, and validation protocols.</li> <li >Translate successful research into reliable prototypes and production-grade AI systems.</li> <li >Lead and mentor AI research engineers, machine learning engineers, and supporting AI engineers.</li> <li >Help shape long-term AI research strategy, compute strategy, and technical roadmap.</li> </ul> <h3 >Required Experience and Skills</h3> <p >Candidates should possess over <strong >10 years of experience</strong> in a relevant field. The role requires the ability to investigate new AI methodologies, build experimental systems, and validate them against real-world energy data. A key aspect involves leading the transition of successful research into secure, production-grade solutions deployed on private GPU infrastructure. The Principal Senior AI Research Engineer will also serve as a technical leader, mentoring team members and setting scientific and engineering standards.</p> <h3 >Technical Environment</h3> <p >The technical stack is evolving, and the successful candidate will significantly influence its direction. Current technologies include:</p> <ul > <li >Programming languages and frameworks: Python, PyTorch , JAX.</li> <li >Data science libraries: NumPy, SciPy, Pandas, Polars, scikit-learn, XGBoost, LightGBM.</li> <li >Specialized AI tools: PyTorch Geometric or equivalent graph-learning frameworks, probabilistic programming, Bayesian modelling tools, optimization frameworks (*, Pyomo, CVXPY, OR-Tools).</li> <li >MLOps and infrastructure: MLflow for experiment tracking, model lineage, and registry management; Kubeflow Trainer and Kubeflow Pipelines.</li> <li >Development practices: Git, modern code-review workflows, CI/CD for AI and scientific-computing workloads, data and model versioning, automated evaluation, and regression testing.</li> </ul> <p >While not expected to have used every listed technology, candidates must demonstrate deep expertise in the underlying principles and the ability to rapidly evaluate and adopt appropriate tools.</p> <h3 >Work Type and Location</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia. The role requires a minimum of 10 years of relevant experience.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Qiddiya is seeking an Assistant Manager Motorsport Strategy to join its team in Riyadh. This full-time role is central to supporting the strategic planning and delivery of Qiddiya's comprehensive Motorsport portfolio, encompassing events, intellectual property (IP) partnerships, and operator appointment initiatives.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context</h3> <p style="margin:0 0 12px; ************;">The Assistant Manager Motorsport Strategy contributes significantly to the development of business cases, strategic analyses, and cross-functional programs. The position involves coordinating with both internal stakeholders and external partners to ensure the successful planning and execution of motorsport assets, aligning with Qiddiya's long-term vision.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key 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;">Support the strategic development and delivery of Qiddiya Motorsport assets across Motorsport Events, IP partnerships, and Operator Appointment.</li> <li style="margin:0 0 6px;">Assist in the development of feasibility studies, business cases, and financial assessments for new motorsport initiatives, events, partnerships, and asset developments, including market research, demand analysis, and financial modelling.</li> <li style="margin:0 0 6px;">Coordinate cross-functional projects involving Development, Asset Management, Procurement, Legal, Finance, and external consultants to ensure program milestones are achieved.</li> <li style="margin:0 0 6px;">Support operator procurement activities, including the preparation of RFP documentation, governance papers, evaluation processes, and operator mobilisation programs.</li> <li style="margin:0 0 6px;">Assist in the management of international motorsport events and rights holder relationships, supporting event planning, operational readiness, and commercial coordination.</li> <li style="margin:0 0 6px;">Support the management of strategic IP partnerships and commercial initiatives, monitoring contractual obligations, partner deliverables, and activation programs.</li> <li style="margin:0 0 6px;">Prepare high-quality presentations, reports, business cases, and Executive Committee materials to support strategic decision-making.</li> <li style="margin:0 0 6px;">Maintain program plans, action trackers, risk registers, and governance documentation, ensuring accurate reporting and timely delivery.</li> <li style="margin:0 0 6px;">Build and maintain effective relationships with internal stakeholders and external partners to support the successful delivery of the Motorsport Strategy.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Experience Required</h3> <p style="margin:0 0 12px; ************;">Candidates for this position should possess <strong style="font-weight:700;">5 to 10 years of relevant professional experience</strong> in strategic planning, project management, or a related field, preferably within the sports, entertainment, or large-scale development sectors.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Type and Location</h3> <p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">full-time position</strong> based in <strong style="font-weight:700;">Riyadh, Saudi Arabia</strong>. The role requires collaboration within a dynamic team environment focused on delivering Qiddiya's ambitious motorsport objectives.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3> <p style="margin:0 0 12px; ************;">Qiddiya offers a challenging and rewarding environment for professionals seeking to contribute to a transformative project. Salary details for this position will be discussed during the interview process.</p>

Partner Manager – Satellite Communications<br>A leading regional satellite operator is looking for a Partner Manager to own and grow its network of resellers, distributors, system integrators, teleport operators and regional telcos across the GCC and expansion markets.<br>The role:Manage and develop existing partner relationships while identifying and onboarding new partners in target growth markets Drive partner enablement, onboarding, and ongoing pipeline management Build deep market and partner-specific knowledge (e.g. understanding which partners carry strength in which verticals and geographies) Report on partner pipeline performance and act as the internal link between partners and the wider commercial team Longer term, build and lead a small team as the partner function grows<br>What we're looking for:Proven experience in partner or channel management within satellite, telecom, or a closely related technology sector Fluent in both Arabic and English Strong regional market knowledge across GCC (Africa/Asia experience a plus) Comfortable working with a mix of partner types: resellers, distributors, SIs, teleport operators, telcos Based in or willing to relocate to Riyadh

<div dir="rtl"><h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">نبذة عن الوظيفة</h3> <p style="margin:0 0 12px; ************;">يبحث مصنع انسبت للعوازل والكيماويات عن <strong style="font-weight:700;">مشغل آلات إنتاج نفط وغاز</strong> للانضمام إلى فريقه في مدينة العيون بالمنطقة الشرقية. تتطلب هذه الوظيفة بدوام كامل تشغيل آلات إنتاج النفط والغاز والتحكم في أنظمتها، مع مسؤولية تنظيم تدفق المنتجات واختبارها. الدور متاح للمرشحين ذوي الخبرة التي تتراوح من 0 إلى سنة واحدة.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">المهام والمسؤوليات الرئيسية</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;">تشغيل آلات إنتاج النفط والغاز والتحكم في أنظمة التجميع والضغط.</li> <li style="margin:0 0 6px;">تنظيم تدفق وضغط النفط والمنتجات المكررة في خطوط الأنابيب.</li> <li style="margin:0 0 6px;">تشغيل معدات التسييل والضغط ومعدات استخلاص أو استخراج الغاز.</li> <li style="margin:0 0 6px;">تشغيل المضخات والصمامات والأنابيب اللازمة لنقل الغاز.</li> <li style="margin:0 0 6px;">إعداد وبدء وإيقاف العمليات في المصفاة والتحكم فيها.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">مراقبة العمليات واختبار المنتجات</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;">مراقبة الأداء الوظيفي للمعدات، بما في ذلك درجة الحرارة والمستوى والتدفق والمتغيرات الأخرى.</li> <li style="margin:0 0 6px;">تحديد التعديلات اللازمة ورفع التقارير حول أي مشاكل فنية أو تشغيلية.</li> <li style="margin:0 0 6px;">تقديم الدعم في جمع عينات النفط والمنتجات المكررة.</li> <li style="margin:0 0 6px;">ترتيب وإجراء الاختبارات اللازمة للتحقق من صفات وأصناف المنتجات.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">دعم الصيانة والالتزام بالسلامة</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;">المساعدة في أعمال الصيانة الدورية في المحطة.</li> <li style="margin:0 0 6px;">أداء عمليات التفقد واتخاذ الترتيبات اللازمة لصيانة معدات المحطة.</li> <li style="margin:0 0 6px;">ضمان الالتزام بسياسات وإجراءات الصحة والسلامة والبيئة (HSE).</li> <li style="margin:0 0 6px;">مراقبة نقل وتخزين المنتجات الخطرة وفقاً للمعايير المحددة.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">المؤهلات والخبرات المطلوبة</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;">خبرة تتراوح من <strong style="font-weight:700;">0 إلى 1 سنة</strong> في مجال ذي صلة بتشغيل آلات إنتاج النفط والغاز أو الصناعات المشابهة.</li> <li style="margin:0 0 6px;">القدرة على فهم وتشغيل المعدات الصناعية المعقدة.</li> <li style="margin:0 0 6px;">الالتزام بمعايير وإجراءات السلامة المهنية والبيئية.</li> <li style="margin:0 0 6px;">مهارات جيدة في المراقبة والإبلاغ عن المشاكل التشغيلية.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">تفاصيل العمل</h3> <p style="margin:0 0 12px; ************;">هذه الوظيفة بدوام كامل في مصنع انسبت للعوازل والكيماويات، وتقع في العيون، المنطقة الشرقية. الراتب لهذه الوظيفة لم يتم الإفصاح عنه.</p></div>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Backend Engineer based in Saudi Arabia.<br><br>This role offers the opportunity to build and evolve the machine learning infrastructure behind advanced property intelligence solutions. You will combine strong backend engineering expertise with machine learning operations to create scalable platforms for training, evaluation, deployment, and monitoring. Working alongside machine learning engineers, researchers, and software teams, you will help move innovative models from experimentation into reliable production systems. The position involves cloud-native technologies, distributed computing, automation, observability, and responsible AI practices. You will also explore AI-powered engineering tools and modern technologies that improve development efficiency and operational performance. Your work will contribute to solutions that generate insights from large-scale aerial and satellite imagery while helping organizations better understand climate and economic risks.<br><br>Accountabilities<br><br>Build, maintain, and evolve scalable machine learning infrastructure supporting model development, training, evaluation, deployment, and monitoring. Design reliable, cost-effective ML pipelines, platforms, and engineering tooling for large-scale workloads. Partner with machine learning engineers and researchers to transition new models and approaches from prototypes into production-ready systems. Develop automation, testing, observability, monitoring, reproducibility, data lineage, and governance capabilities across ML environments. Evaluate and integrate new data sources, technologies, platforms, and tools that can improve model performance and operational efficiency. Collaborate with software engineering, technology, product, and commercial stakeholders to deliver scalable machine learning solutions. Apply AI-powered development tools, coding assistants, and LLM-based agents to automate workflows and improve engineering productivity. Ensure machine learning systems meet security, governance, responsible AI, and model risk management standards. Identify technical trade-offs and contribute to architectural decisions involving infrastructure scalability, reliability, performance, and cost.<br><br>Requirements<br><br>Senior-level backend software engineering experience with a strong understanding of machine learning and a demonstrated interest in developing deeper ML expertise. Experience designing, building, and maintaining machine learning infrastructure, platforms, and tooling for large-scale training, evaluation, and deployment. Strong proficiency in Python and modern machine learning engineering tools, including deep learning frameworks, experiment tracking, version control, containerization, and automated workflows. Hands-on experience with MLOps practices such as CI/CD, model monitoring, reproducibility, data lineage, model governance, and production operations. Proven experience with cloud-native technologies, Kubernetes, distributed computing environments, and scalable infrastructure supporting machine learning workloads. Demonstrated understanding of artificial intelligence concepts and practical experience using AI tools, coding assistants, and LLM-based agents to enhance engineering workflows. Experience implementing AI-powered solutions to address business challenges, with awareness of responsible and ethical AI principles. Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Ability to collaborate effectively with machine learning engineers, researchers, software developers, product teams, and business stakeholders. PhD in a science, technology, engineering, or mathematics discipline is preferred; a Master's degree with significant relevant industry experience or a Bachelor's degree with extensive hands-on experience is also considered. Equivalent practical experience and non-traditional career paths are welcome.<br><br>Benefits<br><br>Opportunity to work on advanced machine learning, computer vision, geospatial analytics, and AI challenges. Exposure to large-scale aerial and satellite imagery and technology supporting property intelligence solutions. Work with modern cloud-native infrastructure, distributed computing, ML platforms, and AI-enabled engineering tools. Opportunity to contribute to responsible AI, model governance, security, and risk management practices. Collaborative environment involving machine learning engineers, researchers, software engineers, product teams, and other stakeholders. Professional growth opportunities through work on complex, high-impact machine learning infrastructure challenges. Inclusive workplace focused on curiosity, diverse perspectives, integrity, collaboration, and continuous improvement. Candidates who do not meet every listed requirement are encouraged to apply if they can demonstrate relevant skills and experience.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Be the change. Join the world’s most visionary developer. Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel. We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism. Join RSG and be part of the positive change for Saudi Arabia and the world.<br>Job Purpose<br>The position is responsible for overseeing the strategic, operational, and financial performance of a portfolio of civic assets, which may include hospitals, schools, and other community-serving facilities. This role bridges asset operations and investment management, ensuring that all facilities deliver high standards of service, operational efficiency, regulatory compliance, and sustainable financial performance. The role ensures assets are effectively maintained, operated, and optimized to support community needs while delivering long-term value for the asset owner.<br>Job Responsibilities Oversee the operational and financial performance of a portfolio of civic assets, with a key focus on healthcare & education Monitor asset performance indicators such as occupancy/utilization levels, service delivery standards, operational efficiency, lifecycle costs and operator performance. Develop and execute annual asset management and business plans aligned with ownership objectives. Conduct regular performance reviews with facility operators. Ensure assets are maintained in accordance with contractual requirements, regulatory standards, and operational best practices. Policies, Systems, Processes, Procedures, Standards and Reports Oversee the smooth handover of new assets from the project delivery team into operational management. Verify and secure all required documentation, warranties, asset registers, and maintenance plans during handover. Manage outsourced operations contracts, ensuring operators deliver services as per agreed KPIs, SLAs, and performance standards. Review operator reports, track performance, and ensure timely rectification of operational and maintenance issues. Prepare and manage annual operations and maintenance (O&M) budgets, including monitoring expenditures and approving invoices. Implement and maintain asset management policies, systems, processes, and standards across the civic asset portfolio. Ensure operators operate in line with approved procedures and reporting frameworks including all necessary authority requirements Maintain accurate asset data, lifecycle records, and performance reports to support asset management decision-making. Act as the main point of contact between operators, and internal stakeholders. Provide regular updates to senior leadership on asset performance, risks, lifecycle planning, and financial status. Safety, Quality & Environment Ensure all operators comply with company policies, health & safety standards, and regulatory requirements. Monitor compliance with applicable healthcare, education, and public safety regulations where relevant Review audit findings and implement corrective actions with contractors. Continuous Improvement Recommend improvements in asset management practices, maintenance strategies, contractor performance, and cost efficiency. Identify opportunities to optimize asset utilization, reliability, and lifecycle performance. Support adoption of asset management best practices (aligned to ISO 55000 where applicable).<br><br>Job Stakeholders (Relationship)<br>Internal Executive Leadership / Senior Management Project Delivery / Construction Teams Finance Department Procurement / Contracts Team Operations & Maintenance Support Teams Planning & Strategy Teams External Facility Operators Outsourced Maintenance Contractors / Service Providers PPP Operators / Concessionaires Regulatory Authorities / Government Agencies Local Municipalities / Utility Providers Consultants / Auditors End Users / Community Stakeholders<br><br>Job Requirements<br>Qualification and Experience Bachelor’s degree in Engineering, Facilities/Asset Management, or related field.10+ years of experience in infrastructure operations, contract management, or asset management. Experience managing civic, healthcare, education, or public sector assets is preferred. Skills Strong skills in vendor and contractor management, budgeting, and performance monitoring. Knowledge of lifecycle asset management principles. Excellent communication and stakeholder management skills. Job Context Requires a team player attitude and the flexibility to provide assistance where needed Robust and articulate communication skills, both verbal and written Sensitivity to and respect for the confidential nature of the subject matter of the job and the department Commitment to high standards of excellence and possess an uncompromising level of personal integrity High energy, charisma, team oriented, strong work ethic, problem-solving capabilities and follow through Requires excellent interpersonal skills and a high level of professionalism

Be the change. Join the world’s most visionary developer. Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel. We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism. Join RSG and be part of the positive change for Saudi Arabia and the world.<br>Job Purpose<br>The position is responsible for overseeing the strategic, operational, and financial performance of a portfolio of civic assets, which may include hospitals, schools, and other community-serving facilities. This role bridges asset operations and investment management, ensuring that all facilities deliver high standards of service, operational efficiency, regulatory compliance, and sustainable financial performance. The role ensures assets are effectively maintained, operated, and optimized to support community needs while delivering long-term value for the asset owner.<br>Job Responsibilities Oversee the operational and financial performance of a portfolio of civic assets, with a key focus on healthcare & education Monitor asset performance indicators such as occupancy/utilization levels, service delivery standards, operational efficiency, lifecycle costs and operator performance. Develop and execute annual asset management and business plans aligned with ownership objectives. Conduct regular performance reviews with facility operators. Ensure assets are maintained in accordance with contractual requirements, regulatory standards, and operational best practices. Policies, Systems, Processes, Procedures, Standards and Reports Oversee the smooth handover of new assets from the project delivery team into operational management. Verify and secure all required documentation, warranties, asset registers, and maintenance plans during handover. Manage outsourced operations contracts, ensuring operators deliver services as per agreed KPIs, SLAs, and performance standards. Review operator reports, track performance, and ensure timely rectification of operational and maintenance issues. Prepare and manage annual operations and maintenance (O&M) budgets, including monitoring expenditures and approving invoices. Implement and maintain asset management policies, systems, processes, and standards across the civic asset portfolio. Ensure operators operate in line with approved procedures and reporting frameworks including all necessary authority requirements Maintain accurate asset data, lifecycle records, and performance reports to support asset management decision-making. Act as the main point of contact between operators, and internal stakeholders. Provide regular updates to senior leadership on asset performance, risks, lifecycle planning, and financial status. Safety, Quality & Environment Ensure all operators comply with company policies, health & safety standards, and regulatory requirements. Monitor compliance with applicable healthcare, education, and public safety regulations where relevant Review audit findings and implement corrective actions with contractors. Continuous Improvement Recommend improvements in asset management practices, maintenance strategies, contractor performance, and cost efficiency. Identify opportunities to optimize asset utilization, reliability, and lifecycle performance. Support adoption of asset management best practices (aligned to ISO 55000 where applicable).<br><br>Job Stakeholders (Relationship)<br>Internal Executive Leadership / Senior Management Project Delivery / Construction Teams Finance Department Procurement / Contracts Team Operations & Maintenance Support Teams Planning & Strategy Teams External Facility Operators Outsourced Maintenance Contractors / Service Providers PPP Operators / Concessionaires Regulatory Authorities / Government Agencies Local Municipalities / Utility Providers Consultants / Auditors End Users / Community Stakeholders<br><br>Job Requirements<br>Qualification and Experience Bachelor’s degree in Engineering, Facilities/Asset Management, or related field.10+ years of experience in infrastructure operations, contract management, or asset management. Experience managing civic, healthcare, education, or public sector assets is preferred. Skills Strong skills in vendor and contractor management, budgeting, and performance monitoring. Knowledge of lifecycle asset management principles. Excellent communication and stakeholder management skills. Job Context Requires a team player attitude and the flexibility to provide assistance where needed Robust and articulate communication skills, both verbal and written Sensitivity to and respect for the confidential nature of the subject matter of the job and the department Commitment to high standards of excellence and possess an uncompromising level of personal integrity High energy, charisma, team oriented, strong work ethic, problem-solving capabilities and follow through Requires excellent interpersonal skills and a high level of professionalism

<ul><li>Design, build, test, and deploy machine learning models using Pytorch, Scikit-learn, and Numpy</li><li>Collaborate with cross-functional teams to identify business problems and develop machine learning solutions</li><li>Work with large datasets to train and validate machine learning models</li><li>Optimize and fine-tune model performance to achieve desired outcomes</li><li>Stay up-to-date with industry trends and advancements in machine learning</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong proficiency in Pytorch, Scikit-learn, and Numpy</li><li>Experience with machine learning frameworks and libraries</li><li>Excellent programming skills in Python</li><li>Strong understanding of machine learning principles, including supervised and unsupervised learning</li><li>Experience working with large datasets and data preprocessing techniques</li><li>Strong problem-solving skills and attention to detail</li></ul>

<p>Main purpose of the role: We welcome applications from UAV Sensor Operator Instructors for our Basic UAS training delivery program in Saudi Arabia. The UAV Sensor Operator Instructor will work as part of a team to provide academic and practical instruction in classroom environment. In this role you will use your extensive aviation experience, training experience, and varied computer skills (text &amp; graphics), to develop, deliver, and maintain multi-media and computer-assisted courseware packages. This position is customer-facing and is focused on identifying and supporting customers needs and requests. Provides training to customers near Al Majmah ah, Saudi Arabia. Delivers RPA system training in areas of expertise using a variety of instructional training aids in the classroom environment including the use of multimedia presentations (videos, slides, Power Point), system components and crew and group-based simulators.</p><p>About CAE At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we've driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success. Position Type Regular Equal Opportunity &amp; Accommodations CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available contact your recruiter or email CAECarrieres-CEMAIL_ADDRESS if needed. Data Privacy Privacy Statement | CAE As part of our process, we may use AI supported tools to help review applications, with human decision making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum requirements Current/previously rated military sensor operator or with equivalent civil sensor/mission operator experience</li><li>Previous experience as an instructor Sensor Operator (USAF specialty code K , RAF Q Qualifications or civilian equivalent).</li><li>Minimum of 1000 hours total flying/operating time (simulated and/or live).</li><li>Minimum of 2 years of instructional experience.</li><li>Ability to read, analyse, and interpret the most complex documents.</li><li>Will be required to respond effectively to sensitive inquiries and feedback.</li><li>Ability to generate effective oral and written presentations and proposals on complex subjects.</li><li>Desired Requirements Experience with a broad spectrum of sensor capabilities and with a broad range of UAV types, sizes, roles, complexity.</li><li>Flying/operating time on fixed wing UAV type(s).</li><li>Instructional experience on fixed wing UAV types.</li><li>Ability to maintain cultural awareness and good relations with the customer.</li><li>Ability to adapt and innovate.</li><li>Ability to concentrate and work in a multicultural/multiagency environment.</li><li>Ability to maintain strong customer orientation under adverse circumstances.</li><li>Ability to respond to customer questions by carrying out research, leveraging team capabilities and delivering to an accurate and timely answer.</li><li>Ability to deal with some complex problems unsupervised.</li><li>Ability to maintain composure under pressure.</li><li>Security/administrative requirements Ability to obtain and maintain an employment visa for the Kingdom of Saudi Arabia</li><li>Work environment and physical demands: Work in a Defense &amp; Security environment with appropriate dress, grooming and bearing standards. Work in a classroom environment.</li></ul>

Overview:<br><br>Responsible for supporting the strategic planning and delivery of Qiddiya's Motorsport portfolio across events, IP partnerships, and operator appointment initiatives. The role contributes to the development of business cases, strategic analyses, and cross-functional programmes while coordinating with internal stakeholders and external partners to support the successful planning, and execution of motorsport assets in line with Qiddiya's long-term vision.<br><br>Key Responsibilties: <br><br> Support the strategic development and delivery of Qiddiya Motorsport assets across Motorsport Events, IP partnerships and Operator Appointment Support the development of feasibility studies, business cases and financial assessments for new motorsport initiatives, events, partnerships and asset developments, including market research, demand analysis and financial modelling Coordinate cross-functional projects involving Development, Asset Management, Procurement, Legal, Finance and external consultants to ensure programme milestones are achieved Support operator procurement activities, including preparation of RFP documentation, governance papers, evaluation processes and operator mobilisation programmes Assist in the management of international motorsport events and rights holder relationships, supporting event planning, operational readiness and commercial coordination Support the management of strategic IP partnerships and commercial initiatives, monitoring contractual obligations, partner deliverables and activation programmes Prepare high-quality presentations, reports, business cases and Executive Committee materials to support strategic decision-making Maintain programme plans, action trackers, risk registers and governance documentation, ensuring accurate reporting and timely delivery Build and maintain effective relationships with internal stakeholders and external partners to support the successful delivery of the Motorsport Strategy<br><br>Requirements<br><br> Bachelor's degree in Business Administration, Finance or related fields A minimum of 4 years of experience in strategy, management consulting, motorsport, sports, entertainment, destination development, or a related field

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Overview: Responsible for supporting the strategic planning and delivery of Qiddiya's Motorsport portfolio across events, IP partnerships, and operator appointment initiatives.<br> The role contributes to the development of business cases, strategic analyses, and cross-functional programmes while coordinating with internal stakeholders and external partners to support the successful planning, and execution of motorsport assets in line with Qiddiya's long-term vision.<br> Key Responsibilties: - Support the strategic development and delivery of Qiddiya Motorsport assets across Motorsport Events, IP partnerships and Operator Appointment.<br> - Support the development of feasibility studies, business cases and financial assessments for new motorsport initiatives, events, partnerships and asset developments, including market research, demand analysis and financial modelling.<br> - Coordinate cross-functional projects involving Development, Asset Management, Procurement, Legal, Finance and external consultants to ensure programme milestones are achieved.<br> - Support operator procurement activities, including preparation of RFP documentation, governance papers, evaluation processes and operator mobilisation programmes.<br> - Assist in the management of international motorsport events and rights holder relationships, supporting event planning, operational readiness and commercial coordination.<br> - Support the management of strategic IP partnerships and commercial initiatives, monitoring contractual obligations, partner deliverables and activation programmes.<br> - Prepare high-quality presentations, reports, business cases and Executive Committee materials to support strategic decision-making.<br> - Maintain programme plans, action trackers, risk registers and governance documentation, ensuring accurate reporting and timely delivery.<br> - Build and maintain effective relationships with internal stakeholders and external partners to support the successful delivery of the Motorsport Strategy.<br> - Bachelor's degree in Business Administration, Finance or related fields.<br> - A minimum of 4 years of experience in strategy, management consulting, motorsport, sports, entertainment, destination development, or a related field.<br></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>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Machine Learning Researcher Role</h3> <p style="margin:0 0 12px; ************;">Hire Feed is seeking a <strong style="font-weight:700;">Machine Learning Researcher</strong> to support ongoing research initiatives for one of its clients in Saudi Arabia. This is a contract position requiring <strong style="font-weight:700;">2-5 years of relevant experience</strong>. The role offers a competitive hourly rate ranging from <strong style="font-weight:700;">$20 to $90 per hour</strong>.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Objectives</h3> <p style="margin:0 0 12px; ************;">The Machine Learning Researcher will focus on developing and refining models to enhance performance across key applications within the technology industry. This position contributes to cutting-edge research with potential impact on scalable AI solutions, involving collaboration with a cross-functional team to validate and scale research findings.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key 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 implement novel machine learning models to address specific research challenges.</li> <li style="margin:0 0 6px;">Conduct experiments to evaluate model performance and iterate based on results.</li> <li style="margin:0 0 6px;">Collaborate with engineers and researchers to integrate models into production systems.</li> <li style="margin:0 0 6px;">Document methodologies, results, and insights for internal and external stakeholders.</li> <li style="margin:0 0 6px;">Stay current with advancements in machine learning research and apply relevant techniques.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates are expected to possess <strong style="font-weight:700;">2-5 years of experience</strong> in a relevant machine learning research or development role. Applications are reviewed based solely on demonstrated technical ability and qualifications. Hire Feed and its clients are committed to hiring based on skills and expertise, welcoming all qualified candidates regardless of background, experience, or prior employment history.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Contract Details and Collaboration</h3> <p style="margin:0 0 12px; ************;">This role is offered on a contract basis, with a flexible duration designed to align with project milestones and the candidate's personal availability. The researcher will work closely with a cross-functional team, including engineers and other researchers, to ensure successful integration and scaling of machine learning models.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3> <p style="margin:0 0 12px; ************;">We encourage all qualified individuals who meet the technical requirements to apply. The selection process focuses on evaluating candidates' demonstrated abilities and relevant qualifications for this Machine Learning Researcher position.</p>

<div dir="rtl"><h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">نبذة عن الدور</h3> <p style="margin:0 0 12px; ************;">تبحث فرع شركة سيد الخبازين السعودية عن <strong style="font-weight:700;">مشغل آلة إنتاج مخابز وحلويات</strong> للانضمام إلى فريقها في الدمام، المنطقة الشرقية. يركز هذا الدور على تشغيل ومراقبة وصيانة آلات إنتاج المخبوزات والحلويات، مع ضمان أعلى معايير الجودة والسلامة للمنتجات النهائية. هذه الوظيفة بدوام كامل وتعد فرصة ممتازة للأفراد الذين يمتلكون خبرة تتراوح بين 0-1 سنة في مجال ذي صلة.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">المهام والمسؤوليات الرئيسية</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;">تشغيل آلات إنتاج المخبوزات والحلويات بكفاءة وفقاً لخطط الإنتاج والكميات المطلوبة.</li> <li style="margin:0 0 6px;">مراقبة أداء الآلات بشكل مستمر لضمان سير العمليات بسلاسة وتحديد أي أعطال محتملة.</li> <li style="margin:0 0 6px;">إجراء الفحوصات الدورية للمنتجات للتأكد من مطابقتها للمواصفات الفنية ومعايير الجودة المحددة.</li> <li style="margin:0 0 6px;">الالتزام الصارم بجميع سياسات وإجراءات الصحة والسلامة والبيئة المعتمدة في موقع العمل.</li> <li style="margin:0 0 6px;">تنفيذ عمليات تخزين المنتجات النهائية بطريقة منظمة وآمنة لضمان الحفاظ على جودتها.</li> <li style="margin:0 0 6px;">المساهمة في أعمال الصيانة الأساسية للآلات لضمان جاهزيتها التشغيلية وتقليل فترات التوقف.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">المؤهلات والخبرات</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;">خبرة تتراوح بين <strong style="font-weight:700;">0 إلى 1 سنة</strong> في تشغيل آلات الإنتاج، ويفضل أن تكون في قطاع المخابز والحلويات أو الصناعات الغذائية.</li> <li style="margin:0 0 6px;">القدرة على فهم واتباع التعليمات الفنية وإجراءات التشغيل القياسية.</li> <li style="margin:0 0 6px;">الالتزام بمعايير الجودة والسلامة في بيئة العمل.</li> <li style="margin:0 0 6px;">مهارات جيدة في الملاحظة والانتباه للتفاصيل.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">تفاصيل الوظيفة</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;"><strong>نوع الوظيفة:</strong> دوام كامل.</li> <li style="margin:0 0 6px;"><strong>الموقع:</strong> الدمام، المنطقة الشرقية، المملكة العربية السعودية.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">عن فرع شركة سيد الخبازين السعودية</h3> <p style="margin:0 0 12px; ************;">تعتبر فرع شركة سيد الخبازين السعودية جزءاً من كيان رائد في مجال المخبوزات والحلويات، ملتزمة بتقديم منتجات عالية الجودة لعملائها. تسعى الشركة باستمرار إلى تعزيز فريق عملها بأفراد ملتزمين ومتحمسين للمساهمة في تحقيق أهدافها الإنتاجية.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">للتقديم</h3> <p style="margin:0 0 12px; ************;">ندعو المهتمين الذين يستوفون المتطلبات المذكورة أعلاه إلى تقديم طلباتهم للانضمام إلى فريق عملنا.</p></div>

At Qiddiya Investment Company, we are shaping a landmark destination redefining entertainment, culture and hospitality in the Kingdom. The Hospitality Business Unit is developing a portfolio of hotel assets central to this vision. As these assets progress, we are seeking experienced professionals to ensure operational excellence is embedded throughout the planning and design process.<br><br>In this role, you will lead the operational planning and design development of all hotels operating areas related to the guest accommodation experience. Working from the earliest project stages, you will translate operational requirements into efficient, guest-centric design solutions that optimize both the guest journey and hotel operations. Working closely with Development, Design, Operators and consultants, you will guide the planning of guest-facing and back-of-house operational areas, ensuring alignment with the asset strategy, operator requirements, operational best practices and Hospitality BU standards. Additionally, you will be expected to balance Qiddiya's design vision with hotel requirements. This includes not settling for "traditional" brand vision by driving innovation and "out of box" innovation.<br><br>Applications close on 26th July 2026.<br><br>Responsibilities<br><br>Lead operational planning throughout the hotel design lifecycle. Develop operational concepts and planning criteria for Rooms Division functions, including Front Office, Concierge, Housekeeping, Laundry, Guest Relations, and back-of-house areas. Review design proposals to optimize operational efficiency, guest experience, and asset performance. Define operational workflows, space planning, and functional relationships. Collaborate with internal teams, hotel operators, architects, and consultants to ensure integrated operational planning. Participate in design reviews, identify operational risks, and recommend improvements. Develop operational planning standards and benchmark projects against industry best practices Partner with hotel operators to interpret brand standards and operational requirements while ensuring alignment with Qiddiya's vision and asset strategy<br><br>Requirements<br><br>Bachelor's degree in Hospitality Management or a related field. 10+ years of experience in luxury hotel operations, operational planning, design development, technical services, or hotel pre-opening projects. Strong leadership experience within Rooms Division or related hotel operations. Experience working with hotel operators, architects, designers, and multidisciplinary teams. Strong knowledge of hotel operations, guest journey planning, and operational design. Excellent stakeholder management, communication, and problem-solving skills. Experience in Saudi Arabia or the GCC is preferred

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI &amp; Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps &amp; AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud &amp; Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering &amp; Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence &amp; Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents &amp; Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring &amp; Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers &amp; DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</p><p>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</p><p>Proven experience building and operationalizing machine learning models in production environments.</p><p>Strong experience implementing enterprise MLOps frameworks and practices.</p><p>Experience working with cloud-native AI services and modern AI platforms.</p><p>Native or Fluent Arabic Speaker.</p><p>Strong Python programming skills.</p><p>Experience deploying AI solutions in enterprise production environments.</p><p>Willingness to work onsite in Riyadh, Saudi Arabia.</p><p>Strong analytical and problem-solving skills.</p><p>Excellent communication and stakeholder management abilities.</p><p>Ability to work effectively in cross-functional and multicultural environments.</p><p>Strong ownership, accountability, and leadership mindset.</p><p>Passion for innovation and continuous learning.</p><p>Ability to communicate fluently in both Arabic and English.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.</p><p>Key Responsibilities</p><p>AI &amp; Machine Learning Development</p><ul><li>Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><p>Generative AI Engineering</p><ul><li>Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>Implement vector databases and semantic search solutions.</li><li>Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><p>MLOps &amp; AI Operations</p><ul><li>Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>Implement scalable AI platforms supporting multiple business units.</li></ul><p>Cloud &amp; Platform Engineering</p><ul><li>Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>Manage containerized AI environments using Docker and Kubernetes.</li><li>Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>Optimize cloud resources, performance, and operational costs.</li></ul><p>Data Engineering &amp; Integration</p><ul><li>Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><p>Stakeholder Management</p><ul><li>Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><p>Required Technical Skills</p><p>Artificial Intelligence &amp; Machine Learning</p><ul><li>Machine Learning</li><li>Deep Learning</li><li>Natural Language Processing (NLP)</li><li>Predictive Analytics</li><li>Computer Vision (preferred)</li><li>Reinforcement Learning (preferred)</li><li>Generative AI</li><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt Engineering</li><li>AI Agents &amp; Multi-Agent Systems</li><li>Fine-Tuning and Model Optimization</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><p>MLOps</p><ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring &amp; Observability</li><li>CI/CD for ML</li><li>Feature Stores</li><li>Model Registry</li><li>Experiment Tracking</li><li>Model Governance</li></ul><p>Cloud Platforms</p><ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul><p>Preferred</p><p>Containers &amp; DevOps</p><ul><li>Docker</li><li>Kubernetes</li><li>Git</li><li>GitHub Actions</li><li>Jenkins</li><li>Terraform</li><li>Infrastructure as Code</li></ul><p>Programming Languages</p><ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul><p>Qualifications</p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</p><p>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>Experience Requirements</p><ul><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Azure AI Engineer Associate</li><li>AWS Machine Learning Specialty</li><li>Google Professional Machine Learning Engineer</li><li>OCI AI Foundations Associate</li><li>Kubernetes Certifications (CKA/CKAD)</li><li>Databricks Machine Learning Professional</li></ul><p>Soft Skills</p><ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li></ul><p>Mandatory Requirements</p><ul><li>Native or Fluent Arabic Speaker.</li><li>6 – 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li><li>Native or Fluent Arabic Speaker.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p></p></section>