Data and Applied Scientist -(AIREE) ARC - AI Research to Capability

Job Title: Data and Applied Scientist -(AIREE) ARC - AI Research to Capability Company: SAP Job Category: Machine Learning Roles & Responsibilities: The Role * Design, build, and deploy scalable machine learning services and APIs on SAP Business * Technology Platform (BTP) and other cloud platforms. * Productionize experiments and PoCs — taking research prototypes from the ARC team to * production\-ready state with high availability, performance, and reliability. * Build and maintain reusable AI engineering foundations: agent harnesses, SDKs, MCP * servers and tools, and common components that other teams can adopt. * Operationalize evaluation tooling and observability at scale, so teams know whether their AI * is ready before release and stays healthy after it ships. * Develop and maintain CI/CD pipelines, infrastructure\-as\-code, and MLOps workflows to * streamline model deployment, versioning, and monitoring. * Collaborate with data and applied scientists to productionize models, optimize inference * performance, and integrate capabilities seamlessly into enterprise applications. * Build robust, secure, and compliant cloud\-native applications, leveraging containerization * (Docker, Kubernetes) and serverless architectures. * Contribute to architectural decisions for ML and AI platforms, balancing scalability, cost,and developer experience. * Stay current with advances in MLOps, cloud engineering, Generative AI, and agentic * systems — and bring what works back into the team's foundations. 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. 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. Requisition ID: 451384 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Bengaluru, Karnataka, India Availability: Full time

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 – 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. What You Bring * 5 \+years of professional experience in software engineering or machine learning * engineering, with a strong focus on cloud\-native development and ML model deployment. * Bachelor's or master's degree in Computer Science, Artificial Intelligence, Engineering, or * another relevant discipline. * Hands\-on experience with SAP Business Technology Platform (BTP) is strongly preferred; * experience with other cloud platforms (AWS, GCP, Azure) is also valuable. * Proficiency in Python, with experience using ML libraries such as PyTorch, TensorFlow, * Hugging Face, or similar. * Solid experience with containerization (Docker), orchestration (Kubernetes), and CI/CD * tools (e.g., Jenkins, GitHub Actions, GitLab CI). * Working knowledge of MLOps practices, including model versioning, deployment pipelines, * monitoring, and lifecycle management. * Familiarity with REST APIs, microservices architecture, and event\-driven systems. * Understanding of LLM serving frameworks and inference optimization techniques is a plus. * Exposure to Knowledge Graph technologies (e.g., RDF, SPARQL, property graphs, Cypher) * or vector databases is a plus. * Strong communication and collaboration skills, with experience working in agile and cross\- * cultural teams. * A curiosity to experiment with and adopt emerging technologies and frameworks. 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. Please note that any violation of these guidelines may result in disqualification from the hiring process. Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed