mechanical engineer

python ai engineer

application engineer

principal ai engineer

software engineer

machine learning engineer

EPAM Systems

<div>We are looking for a Principal Forward Deployed Engineer to join our team with eventual relocation to Spain. EPAM is renowned for delivering cutting-edge technological solutions to transform businesses worldwide.
We are building AI-native solutions for our clients - products where LLM and its harness are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability. You will work closely with SMEs and end-users to understand where the real value lies, and you design the feedback loops.
The deadline for submission is 01.12.2026.
Responsibilities<ul><li>
Design, build and ship end-to-end AI-native systems including agents, workflows, RAG and integration harnesses</li><li>
Write production-grade Python code for integrations, APIs, data access and deployment</li><li>
Work directly with subject matter experts and end-users through interviews, user acceptance testing and workflow observations</li><li>
Engage early in projects to shape use cases and check technical feasibility</li><li>
Build evaluation pipelines and use them to prove system utility</li><li>
Design for failure in the agent loop by implementing retries, model fallbacks, cost limits and human-in-the-loop actions</li><li>
Capture domain expertise and repeatable workflows to ensure success across engagements. Troubleshoot and resolve technical challenges in collaboration with the broader team
</li><li>Ensure adherence to engineering excellence standards including test-driven development and continuous integration practices
</li></ul>Requirements<ul><li>
7+ years of software engineering experience with a strong track record of building production AI and LLM applications</li><li>
Expert-level Python skills and solid software engineering fundamentals</li><li>
Hands-on experience with agentic frameworks such as LangChain, LangGraph or Semantic Kernel and major LLM providers</li><li>
Strong RAG and retrieval skills including vector databases, embeddings, hybrid search and context management</li><li>
Production deployment experience on major cloud platforms like AWS, Azure or GCP with containerization and CI/CD</li><li>
Proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools</li><li>
Proven capability to work closely with clients, lead discovery conversations and explain technical trade-offs to diverse audiences</li><li>
Strong agent-design judgment and sound engineering judgment under ambiguity to balance speed, quality and scope</li><li>
C1 level English language proficiency</li><li>
An academic degree in Computer Science, Software Engineering or a related field
</li></ul>Nice to have<ul><li>
Experience designing experiments, A/B testing and iterating on AI products against real user behavior</li><li>
Strong background in NLP, Data Science or applied machine learning with experience moving models into production</li><li>
Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Skills and emerging agent standards</li><li>
Experience with enterprise AI platforms such as AWS Bedrock AgentCore, Databricks Genie or Microsoft Foundry</li><li>
Exposure to AI governance, security and compliance including guardrails and prompt-injection prevention</li></ul>
We offer<ul><li>
Private health insurance</li><li>
EPAM Employees Stock Purchase Plan</li><li>
100% paid sick leave</li><li>
Referral Program</li><li>
Professional certification</li><li>
Language courses</li><li>
Permanent contract with a competitive salary</li><li>
Flexible working model with remote work options</li><li>
Personalized career plan and continuous learning (certifications, English training, etc.)</li><li>
Participation in stable projects with a strong technical focus</li><li>
Flexible working hours and a strong focus on work&ndash;life balance</li><li>
Benefits package tailored to your needs</li><li>
Private Healthcare Package</li><li>
Pension</li><li>
Employee Assistance Programme</li><li>
Enhanced Maternity policy</li><li>
Group Life Protection Benefit</li><li>
Give as You Earn</li><li>
Cycle to Work Scheme</li><li>
Employee Referral Bonus Scheme</li><li>
Diversity Networks</li><li>
Access to a range of skills and certifications</li></ul>
EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in M&aacute;laga, Madrid and C&aacute;ceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.
<ul><li>Why Join EPAM</li><li>
WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.</li><li>
CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.</li><li>
CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.</li><li>
STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.</li></ul></div>

Principal Forward Deployed Engineer (relocation to Spain)

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

UMATR

<div>
 
 📍Al Khobar, Saudi Arabia
 
 
 &rarr; Up to SAR 50k per month
 
 
 
 
 
 We&rsquo;re partnering with a technology company using AI to improve safety across large-scale industrial and construction environments. Their platform analyses live site video to identify potential hazards and provide teams with timely, actionable safety insights.
 
 
 
 
 
 They&rsquo;re looking for a
 
 Principal AI Engineer
 
 to take technical ownership of the AI and perception stack. You&rsquo;ll stay hands-on while setting architecture, solving the hardest computer vision and applied AI problems, and influencing technical direction across the wider engineering team.
 
 
 This is a genuinely deep technical role where
 
 video is at the centre of the product
 
 , spanning computer vision, multimodal models, agentic AI, edge deployment and real-time systems.
 
 
 
 
 
 What You&rsquo;ll Do:
 
 <ul>
 <li>
 Own the technical direction of the computer vision and perception stack.
 </li>
 <li>
 Design and build production systems for
 
 object detection, segmentation, tracking and video understanding
 
 .
 </li>
 <li>
 Develop multimodal and vision-language systems that can reason over live and recorded video.
 </li>
 <li>
 Build AI agents capable of reasoning over visual data, using tools and APIs and operating within controlled workflows.
 </li>
 <li>
 Own the full model lifecycle from problem definition and data strategy through to experimentation, deployment, monitoring and continuous improvement.
 </li>
 <li>
 Optimise models across edge and cloud environments, balancing accuracy, latency, reliability and cost.
 </li>
 <li>
 Establish responsible AI and safety controls, including confidence thresholds, human review, explainability and auditability.
 </li>
 <li>
 Lead architecture reviews and document key technical decisions.
 </li>
 </ul>
 
 
 
 
 Who We&rsquo;re Looking For:
 
 <ul>
 <li>
 Proven experience taking
 
 multiple production ML or computer vision systems from concept through to live operation
 
 .
 </li>
 <li>
 Deep hands-on experience working with
 
 video
 
 , including video streaming, analytics or computer vision over video.
 </li>
 <li>
 Strong experience with
 
 PyTorch or TensorFlow
 
 across detection, segmentation, tracking and video understanding.
 </li>
 <li>
 Experience with both purpose-built computer vision models and transformer-based approaches.
 </li>
 <li>
 Production experience with
 
 vision-language or multimodal models
 
 , including model adaptation, prompting, evaluation and integration.
 </li>
 <li>
 Experience building
 
 agentic AI or tool-using systems
 
 , with appropriate guardrails and human-in-the-loop controls.
 </li>
 <li>
 Strong experience with dataset curation, fine-tuning, active learning and experiment management.
 </li>
 <li>
 Proven experience deploying AI workloads across
 
 edge and cloud infrastructure
 
 , with a focus on real-world latency, throughput and memory constraints.
 </li>
 <li>
 Strong MLOps and evaluation experience, including regression testing, experiment tracking, model versioning, monitoring and drift detection.
 </li>
 <li>
 Exceptional written and spoken English.
 </li>
 </ul>
 
 
 
 
 
 Nice to have:
 
 
 <ul>
 <li>
 RAG, vector search or multimodal retrieval experience.
 </li>
 <li>
 Real-time video or streaming camera systems.
 </li>
 <li>
 Edge AI technologies such as TensorRT, ONNX Runtime, Jetson or other GPU/NPU platforms.
 </li>
 <li>
 Self-hosted LLM/VLM serving using tools such as vLLM or similar.
 </li>
 <li>
 Experience in safety-critical, industrial or construction environments.
 </li>
 <li>
 Knowledge of EHS or workplace safety frameworks.
 </li>
 <li>
 Experience with privacy-focused video systems, including anonymisation, access controls and audit trails.
 </li>
 </ul>
 
 
 
 
 Interested?
 
 
 
 Apply today!
 
 
</div>

Principal AI Engineer – Computer Vision & Video AI

GE Vernova

<div><div><div>In this role, the ECT Technical Application Engineer will be working on business development of GA Market, products prequalification, competitor, and GA market understanding, L2 technical support, customer intimacy with clients in Utilities, O&amp;G, Technical session, marketing in KSA. He will closely coordinate his activities with GE Vernova sales, engineering and services. This position will report to GA Lead Technical Applications Engineer
 
 
Duration : 12-months
<h1 class="jobSectionHeader">Job Description</h1>
Key Responsibilities
<ul><li>Technical Sessions: Technical Marketing, creation of opportunities based on installed base, and market information.</li>
<li>Application Support (L2): Provide technical support to clients in the region e.g. technical queries, developing customized solutions, supporting scheme engineering, analyzing field performance etc.</li>
<li>Promotions &amp; Approvals: Support product launches, presentations, discussions, spec-in activities, exhibitions, site trials etc. through Marketing. Implement actions necessary for product approvals based on regional strategy and priorities</li>
<li>Product Problems / Non-quality Issues: Support investigation and resolving product problems reported when requested by customers (L2). Support local actions required for resolution of major non-quality issues</li>
<li>Commercial (Tendering &amp; Negotiation): Support Tendering team - Study customer&rsquo;s technical &amp; commercial requirements. Support Management during contract negotiation</li>
<li>Commercial channels &amp; Market Monitoring: Improve awareness of GA solutions. Obtain competitor data, market share, volume etc. Track evolving customer specifications &amp; requirements.</li>
<li>Product Management: Be aware of product obsoletions, new product availability etc. and provide appropriate customer support in line with regional strategy. Keep track of firmware upgrades, changes in product features etc. and participate in necessary local actions. Support customers vis-&agrave;-vis product literature needs.</li>
</ul>Required Qualifications
<ul><li>Bachelor's degree in Electrical or/and Power systems Engineering or a related field from an accredited university or college.</li>
<li>Fresh Graduates up to 2 years of experience.</li>
<li>Fluent in English.</li>
<li>The legal right to work in KSA without company sponsorship or time restriction</li>
</ul>Desired Characteristics
<ul><li>Interest &amp; college project experience in Automation products, Grid Automation field will be definitely advantage for this profile.</li>
<li>Strong interpersonal and analytical skills to quickly understand and guide solutions.</li>
<li>Strong problem-solving skills, with an emphasis on innovative and creative solutions that result in higher profitability, increased visibility &amp; market penetration</li>
<li>Strong written &amp; verbal communication skills with both internal and external stakeholders</li>
<li>Proactive work style, creativity, high energy, experience in AI tools.</li>
</ul><h1 class="jobSectionHeader">Additional Information</h1>
<div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div></div></div></div>

Early Career Trainee - Application Engineering

<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

Explore 5+ Machine learning engineer in Al Khobar this September. Find roles across top companies and apply now to boost your career.

5 machine learning engineer jobs In Al Khobar

Principal Forward Deployed Engineer (relocation to Spain)

Principal AI Engineer

Principal AI Engineer – Computer Vision & Video AI

Early Career Trainee - Application Engineering

Senior Product Manager