electrical engineer

civil engineer

mechanical engineer

project engineer

planning engineer

ai engineer

DataCamp

<div>About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We're building an AI Creator that turns learning into action&mdash;empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets&mdash;you aim to understand the &quot;why&quot; behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities
<ul>
<li>Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li>Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li>Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li>Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li>Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li>Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li>Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
Qualifications
<h3 class="jobSectionHeader">
Technical</h3>
<ul><li>1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.</li>
<li>Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.</li>
<li>Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.</li>
<li>Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.</li>
</ul><h3 class="jobSectionHeader">Product &amp; Pedagogy</h3>
<ul><li>Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.</li>
<li>Ability to reason holistically across AI behavior, content structure, platform features, and user experience.</li>
<li>Familiarity with learning science or a desire to develop expertise.</li>
</ul><h3 class="jobSectionHeader">Character &amp; Collaboration</h3>
<ul><li>Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.</li>
<li>Preference for elegance and simplicity in system design.</li>
<li>Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.</li>
</ul>
Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div>

Principal AI Engineer - AI Creator

<div>About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We're building an AI Creator that turns learning into action&mdash;empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.
<h2 class="jobSectionHeader">
About you</h2>

You're a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality&mdash;balancing experimentation with disciplined execution.

You're comfortable working in ambiguity but don't wait for perfect direction&mdash;you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.</li>
<li>Drive experiments end-to-end&mdash;shipping, measuring, and iterating to improve learning outcomes and model performance.</li>
<li>Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.</li>
<li>Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.</li>
<li>Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.</li>
<li>Strengthen system quality through robust testing, monitoring, and iteration&mdash;ensuring safe and consistent behavior at scale.</li>
<li>Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews.</li>
</ul><h2 class="jobSectionHeader">Qualifications</h2>
<h3 class="jobSectionHeader">Technical</h3>
<ul><li>Proven experience building and shipping LLM-powered products in production environments.</li>
<li>Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.</li>
<li>Solid grasp of experimentation&mdash;comfortable designing, running, and interpreting experiments to drive improvements.</li>
<li>Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.</li>
</ul><h3 class="jobSectionHeader">Product &amp; Pedagogy</h3>
<ul><li>Strong product instincts&mdash;able to connect model behavior to user experience and outcomes.</li>
<li>Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that.</li>
<li>Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions.</li>
</ul><h3 class="jobSectionHeader">Character &amp; Collaboration</h3>
<ul><li>High ownership and bias for action&mdash;you move things forward without waiting for perfect clarity.</li>
<li>Comfortable operating in fast-moving environments with evolving constraints.</li>
<li>Clear communicator who contributes to a strong, low-ego engineering culture.</li>
</ul>
Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div>

Staff AI Engineer - AI Creator

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 We are looking for a
 
 Sr. AI Engineer
 
 to join our
 
 GenAI Squad
 
 , your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as
 
 data enrichment, smart content understanding
 
 , and
 
 automated decision-making
 
 to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 5+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator, and communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Sr. Data Scientist (AI & ML)

YO IT Consulting

<div>
 
 Job Title:
 
 C#
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 Join our customer's team as an expert C# engineer and play a pivotal role in an innovative AI agent project. As a vital contributor, you will leverage your expertise to train AI models and shape intelligent systems. This fully remote position is perfect for driven professionals passionate about creating transformative technology.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop, implement, and maintain robust C# applications for AI agent solutions.
 </li>
 <li>
 Collaborate with cross-functional teams to design and optimize AI model architectures.
 </li>
 <li>
 Utilize strong back-end or fullstack capabilities to ensure high-performance and scalable solutions.
 </li>
 <li>
 Analyze project requirements and deliver clean, efficient, and well-documented code.
 </li>
 <li>
 Enhance AI training processes by providing expert input and innovative solutions.
 </li>
 <li>
 Communicate effectively with team members, sharing insights and technical updates.
 </li>
 <li>
 Troubleshoot, debug, and optimize application performance during AI model training and deployment.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Expert-level proficiency in C# programming.
 </li>
 <li>
 Over 4 years of professional experience in software development.
 </li>
 <li>
 Demonstrated expertise in back-end or fullstack engineering.
 </li>
 <li>
 Strong written and verbal communication skills with an emphasis on clarity and collaboration.
 </li>
 <li>
 Experience working in remote team environments.
 </li>
 <li>
 Track record of delivering complex technical projects efficiently.
 </li>
 <li>
 Ability to work autonomously and proactively address challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Prior experience contributing to AI or machine learning projects.
 </li>
 <li>
 Familiarity with training, fine-tuning, or evaluating AI models.
 </li>
 <li>
 Exposure to modern cloud platforms or distributed systems.
 </li>
 </ul>
</div>

C# Developer - Remote

Cygnify

<div>
 We're looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won't just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.
 
 
 You're a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You've built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You're comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC.
 
 
 You're also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces.
 
 
 You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.
 
 
 
 What You Will Do
 
 
 
 ❖ Architect and build scalable, innovative software solutions; internally and for clients
 
 
 ❖ Lead engagements with clients, acting as both a trusted advisor and technical owner
 
 
 ❖ Rapidly prototype, iterate, and validate solutions using modern technologies
 
 
 ❖ Balance short-term deliverables with long-term vision for scalable systems
 
 
 ❖ Work across cross-functional teams to align product goals, timelines, and execution
 
 
 ❖ Mentor junior engineers and contribute to growing a culture of technical excellence
 
 
 ❖ Evaluate new technologies to be implemented at scale for citizen impact
 
 
 ❖ Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality
 
 
 ❖ Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery
 
 
 
 Requirements
 
 
 
 OUR CORE TECH STACK (Flexible)
 
 
 ❖ Backend: C# / .NET / Python
 
 
 ❖ Frontend: React / Next.js
 
 
 ❖ Database: MSSQL, Postgres, Elasticsearch, MongoDB
 
 
 ❖ Cloud: Azure or Google
 
 
 ❖ Dev Tools: Git, CI/CD pipelines, Docker, Terraform, Ansible
 
 
 ❖ ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code
 
 
 
 What You'll Bring
 
 
 
 ❖ 6+ years of professional software engineering experience
 
 
 ❖ Expertise with C# and .NET Core, including building APIs and backend systems
 
 
 ❖ Proficiency in React and/or Next.js for modern frontend development
 
 
 ❖ Experience working with cloud services (Azure, AWS, or GCP)
 
 
 ❖ Strong communication and client management skills; comfortable owning technical delivery in client settings
 
 
 ❖ A passion for learning and working with emerging technologies
 
 
 ❖ Ability to work independently in fast-paced, dynamic environments
 
 
 ❖ Knowledge on how to integrate AI agentic development workflows to strong engineering practices
 
 
 
 Bonus Points For
 
 
 
 ❖ Prior consulting, agency, or client-facing experience
 
 
 ❖ Experience designing cloud-native architectures and using infrastructure-as-code tools
 
 
 ❖ Open-source contributions or published technical content
 
 
 ❖ Familiarity with data science workflows or machine learning integration
 
 
 
 What We Value
 
 
 
 ❖ Curiosity and action: You take initiative and explore new ideas
 
 
 ❖ Empathy and clarity: You're a strong communicator and collaborator
 
 
 ❖ Delivery and impact: You're focused on outcomes, not just outputs
 
 
 ❖ Passion and adaptability: You bring energy, depth, and flexibility to your work
 
 
</div>

Senior Technology Innovation Engineer-Dubai, UAE

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build
In this role, you'll lead the design and delivery of production-grade ML and generative AI systems that solve complex product and business problems at scale. You'll own architecture and implementation across data pipelines, feature stores, training workflows, model-serving infrastructure, online experimentation, and observability.
You'll drive advanced use cases across deep learning, NLP, ranking, recommendation, forecasting, semantic retrieval, and LLM applications, including RAG, tool use, evaluation harnesses, and safety controls. Your work will directly shape performance, reliability, latency, and cost efficiency in live environments. You&rsquo;ll guide technical direction on topics such as model selection, distributed training and inference, GPU utilization, model compression, prompt and retrieval optimization, drift detection, retraining strategy, and responsible AI controls. You&rsquo;ll mentor other engineers and turn best practices into reusable patterns and platform capabilities. 
What you bring:<ul><li>
You bring expert-level programming skills in Python, along with strong software engineering expertise in languages such as Java or Go, enabling you to build scalable, production-grade systems
</li><li>You have deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems
</li><li>You have extensive experience designing and operating end-to-end ML systems, from data ingestion and experimentation to deployment, observability, and lifecycle management
</li><li>You bring strong hands-on experience with modern ML and LLM tooling (e.g., PyTorch, TensorFlow, scikit-learn), including fine-tuning, evaluation, orchestration, and model serving
</li><li>You have practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails
</li><li>You bring deep expertise in MLOps and platform engineering, including model registries, feature stores, CI/CD, infrastructure as code, experiment tracking, and automated validation
</li><li>You have a strong architectural understanding of distributed systems, event-driven services, streaming data, and cloud-native ML platforms, with the ability to optimize for performance, scalability, reliability, and cost
</li><li>You define robust evaluation and governance strategies, including offline benchmarking, online experimentation, hallucination analysis, model risk assessment, and responsible AI practices</li></ul> 
About You<ul><li>
You bring 7-9+ years of experience in software engineering and machine learning, with a track record of leading and delivering complex, production-scale AI systems</li><li>
You combine strong product judgment with technical depth, translating ambiguous business problems into scalable, high-impact AI solutions
</li><li>You thrive in complex, fast-moving environments and bring clarity, ownership, and strategic thinking to drive long-term platform success</li></ul> 
Where you belong:
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.
#LI-LP1<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450236 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Senior Machine Learning Engineer

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build
In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You&rsquo;ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale. 
What you bring:<ul><li>
You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs</li><li>
You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems</li><li>
You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference</li><li>
You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics</li><li>
You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines</li><li>
You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases</li><li>
You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores</li><li>
You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li></ul> 
About You<ul><li>
You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production</li><li>
You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions</li><li>
You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready</li><li>
You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li></ul> 
Where you belong:
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450276 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Machine Learning Engineer

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