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senior supply chain procurement specialist

EPAM Systems

<div>About us
EPAM Systems is a leading global provider of digital platform engineering and software development services. Founded in 1993 and headquartered in Newtown, Pennsylvania, EPAM has been helping clients navigate digital transformation for over 30 years, delivering innovative solutions to stay competitive in constantly evolving markets.
As consultants, designers, architects, engineers and trainers, at EPAM, we specialize in building long-term partnerships, enabling businesses to reimagine themselves through a digital lens. In Saudi Arabia, EPAM operates in Riyadh and Al Khobar, offering cutting-edge engineering, strategy, design, consulting, and innovation services across industries.
We're looking for a Senior Product Manager to join our team in Al Khobar, Saudi Arabia, in an on-site working mode. In this role, you will lead the discovery, design, implementation and scaling of GenAI products for Downstream Oil &amp; Gas and refinery operations. You will collaborate closely with refinery stakeholders, engineers, IT teams and leadership to deliver AI-powered solutions that are technically feasible, operationally reliable and deliver measurable business impact. This role offers an opportunity to influence large-scale industrial AI adoption and contribute to digital transformation initiatives in a mission-critical domain.
The deadline for submission is 04/11/2026.
Responsibilities<ul><li>
Own the vision, roadmap and strategy for GenAI products that support refinery workflows and Downstream operations
</li><li>Conduct discovery sessions, operational assessments and user research on-site with refinery teams
</li><li>Translate refinery-specific requirements into scalable enterprise product capabilities
</li><li>Lead end-to-end GenAI solution delivery from proof-of-concept to production-grade implementation and adoption
</li><li>Define requirements for AI copilots, decision-support tools and engineering knowledge assistants
</li><li>Establish governance and monitoring for AI systems, focusing on reliability, safety and continuous improvement
</li><li>Collaborate with technical teams to define integration points for industrial systems (e.g., SAP, PI System, LIMS)
</li><li>Ensure compliance with security, data governance and enterprise architecture standards
</li><li>Engage senior stakeholders, prepare decision papers and manage product updates and demonstrations
</li><li>Oversee product backlogs, release plans, risk and dependency management and acceptance criteria
</li></ul>Requirements<ul><li>
8&ndash;10 years of overall experience with 5&ndash;6 years in technical product management or related leadership roles
</li><li>Strong understanding of Downstream Oil &amp; Gas processes, including refinery operations
</li><li>Hands-on experience delivering AI or GenAI products in complex enterprise settings
</li><li>Expertise in stakeholder management, roadmap planning and business process mapping
</li><li>Familiarity with integration of enterprise data systems (e.g., SAP, PI, maintenance platforms)
</li><li>Ability to work effectively with engineering, cybersecurity and data governance teams
</li><li>Excellent communication and leadership skills
</li><li>Fluent English communication skills (B2 level or higher)</li><li>
Academic degree in Computer Science, Software Engineering or a related field</li><li>
Valid SCE (Saudi Council of Engineers) certificate (with IT related discipline) is required for this position</li></ul>
Nice to have<ul><li>
Experience with AI copilots, knowledge assistants and document-intelligence solutions
</li><li>Awareness of private cloud, hybrid and on-premise deployment models (e.g., OpenShift, Kubernetes)
</li><li>Background in industrial IoT or predictive maintenance solutions</li></ul>
We offer<ul><li>
General Organization for Social Insurance (GOSI)</li><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel allowance for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul>
Why Join EPAM:<ul><li>Become part of a global community of experts spanning over 55 countries in a welcoming and inclusive work environment</li><li>Experience flexible work options - from home, on-site or in a hybrid model based on role and/or project requirements</li><li>Enjoy a tailored career progression path at EPAM, recognized as the Fastest-Growing IT Services Company in Fortune 100</li><li>Benefit from consistent learning and development opportunities including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more</li><li>Explore a wide network of innovative and diverse projects across various markets and verticals</li><li>EPAM was recognized by Glassdoor&rsquo;s as a top 100 Best Places to Work 2023 &amp; 2024</li></ul>
Nature of Work and Working Hours
The usual working hours for full-time roles at EPAM in Saudi Arabia are from 9:00 AM to 6:00 PM, including a one-hour unpaid lunch break. Working hours may vary based on client requirements and flexibility is accommodated whenever possible.
Our Locations in Saudi Arabia
Riyadh - Moon Tower, Mezzanine Floor, King Fahed Branch Road, AR Rahmaniyah, Riyadh, Saudi Arabia
Al Khobar - 21st Floor, Khobar Gate Tower, Al Bandariyah District, King Fahd Road, Al Khobar, Saudi Arabia
How to Apply, Recruitment Process and Deadline
If you meet the requirements and are eager to join EPAM, simply submit your application online by clicking on &quot;apply&rdquo; and providing your up to date CV and/or LinkedIn profile and other optional materials live cover letters and portfolios.
Once applied, you will have a conversation with our Talent Acquisition team, followed by a technical interview and an interview with the hiring manager; a client interview may also be included in some cases. If successful, you'll receive an offer and, upon acceptance, officially become part of our team. We look forward to welcoming you aboard!
Join EPAM today and contribute to shaping the future of technology while growing your career in a supportive, global work environment.</div>

Senior Product Manager

Tandem Search

<div>
 
 Principal Computer Vision &amp; AI Engineer
 
 
 
 Location:
 
 Al Khobar, Saudi Arabia
 
 
 
 
 
 Role Overview
 
 
 We are looking for a highly experienced
 
 Principal Computer Vision &amp; AI Engineer
 
 to lead the technical direction of production AI systems operating over
 
 live video streams in real-world environments
 
 .
 
 
 
 
 
 This is a hands-on technical leadership role rather than a people-management position. You will architect, build, optimise and deploy advanced
 
 computer vision, video understanding and multimodal/Vision-Language Model (VLM)
 
 systems while providing technical direction to senior engineers.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Architect and build production
 
 computer vision and video analytics systems
 
 .
 </li>
 <li>
 Develop solutions across
 
 object detection, segmentation, tracking, event understanding and spatial reasoning
 
 .
 </li>
 <li>
 Design and deploy
 
 VLM/multimodal AI systems
 
 operating over live and recorded video.
 </li>
 <li>
 Own the full ML lifecycle: data strategy, experimentation, fine-tuning, evaluation, deployment and monitoring.
 </li>
 <li>
 Optimise models for
 
 edge and cloud inference
 
 , balancing accuracy, latency, throughput and cost.
 </li>
 <li>
 Establish automated model evaluation, regression testing and production monitoring.
 </li>
 <li>
 Develop agentic AI systems capable of reasoning over video and interacting safely with tools, APIs, cameras and sensors.
 </li>
 <li>
 Set technical architecture and engineering standards while remaining highly hands-on with code.
 </li>
 </ul>
 
 
 
 
 What We're Looking For
 
 <ul>
 <li>
 Deep hands-on experience in
 
 Computer Vision / Video AI
 
 .
 </li>
 <li>
 Strong production experience working with
 
 live or streaming video
 
 .
 </li>
 <li>
 Strong
 
 PyTorch and/or TensorFlow
 
 experience.
 </li>
 <li>
 Expertise across detection, segmentation and tracking using technologies such as
 
 YOLO, DETR/RT-DETR, GroundingDINO or equivalent
 
 .
 </li>
 <li>
 Production experience with
 
 Vision-Language Models / multimodal models
 
 such as Qwen-VL, InternVL, LLaVA, Gemini or equivalent.
 </li>
 <li>
 Experience deploying and optimising AI models in production.
 </li>
 <li>
 Exposure to
 
 edge AI
 
 , ideally TensorRT, ONNX Runtime, NVIDIA Jetson or similar.
 </li>
 <li>
 Strong understanding of model evaluation, MLOps, active learning and production monitoring.
 </li>
 <li>
 Ability to operate as a
 
 Principal/Staff-level technical authority
 
 while remaining hands-on.
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 Agentic AI / tool-calling systems such as LangGraph, LangChain or equivalent.
 </li>
 <li>
 Real-time CCTV, camera or video-streaming systems.
 </li>
 <li>
 Industrial, construction, robotics, autonomous systems or safety-critical AI experience.
 </li>
 <li>
 RAG / multimodal retrieval and vector search.
 </li>
 <li>
 Self-hosted VLM/LLM serving such as vLLM or NIM.
 </li>
 </ul>
 
 
 Critical requirement:
 
 Candidates must have substantial hands-on experience with
 
 video-based computer vision systems
 
 . Pure GenAI/LLM profiles without strong production video/CV experience will not be suitable.
 
</div>

Principal AI Engineer

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Senior Product Manager

Principal AI Engineer