Sr AI Machine Learning Engineer SAP BTP Fabric

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

SAP BTP Fabric helps our customers and internal developers to create platform services including platform services for Agents. BTP Fabric is growing immensely by provisioning base platform for services within SAP as well for Agents. BTP Fabric is evolving into a Machine Learning powerhouse utilizing the power of AI to build platform for current day services; as well as building the next-generation platform for Agentic solutions. As an AI / Machine Learning Engr. on SAP BTP Fabric team you can accelerate the innovation design and delivery of the next generation of platform experiences with Machine Learning and Generative AI. Applications running on the Network provide critical business processes involving thousands of buying organizations millions of sellers across the globe and several millions of users.

Duties and responsibilities of an AI / Machine Learning Engineerwithin SAP BTP Fabric will include work at the bleeding edge of generative AI Agentic AI and Semantic Vector Search including working with open-source as well as third-party generative -addition Machine Learning Engrs. within SAP BTP Fabric will work with conventional open-source reasoning as well as basic LLMs for adapted use for POC business use cases through fine-tunning distillation and/or quantization to enable serving customers at scale.

Responsibilities will also involve out-of-box utilization of SOTA LLMs to enable Platform capabilities that can be adopted by several LOBs including:

• Design and implement innovations in the Semantic Vector Search space
• Develop test deploy GPU enabled microservices that provide BIC metrics and support measurable improvement in Business KPIs
• Work in and develop core agentic platform components for BTP
• Master framework design and modeling in a largescale multi-tenant on-demand environment
• Proactively detect and solve scalability and performance issues
• Work across teams and functions to build best-in-class solutions for various stakeholders

• Masters degree in Computer Science Data Science Machine Learning with equivalent work experience.
• 5 years experience developing production-grade scalable multi-threaded python API Agentic and web applications
• Advanced compute acceleration expertise with GPU acceleration vector programming.
• Advanced knowledge of Nvidia or AMD GPU architecture and acceleration capabilities and provisioning across cloud enterprises.
• Working knowledge of cloud-native architecture and cloud deployment frameworks including microservices containerization Jenkins deployment pipeline Docker files Github actions & K8s.
• Capable of application performance analysis tuning as well as latency enhancements with vector programming.
• Knowledgeable in application security best practices networking and data communication
• Proficient in Python RUST Linux HTML and REST APIs with either Flask FAST APIs etc.
• Proficiency in building production-grade Machine Learning Artificial Intelligent products as well as deep knowledge on using Agents.
• Proficiency with Databricks github fundamentals.
• An understanding of the basics of Encoder and Decoder models including Generative LLM models.
• Cybersecurity fundamentals including foundational knowledge of Data Protection and Privacy.

• Experience working with and deploying and utilizing LLM models in production.
• Experience with Claude code Cline Github copilot as developer accelerators etc.
• Experience with cloud platforms such as GCP AWS and Azure.
• Experience with MLOPs LLMOPs and/or genAIOPs

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
SAPs culture of inclusion focus on health and well-being and flexible working models help ensure that everyone regardless of background 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.

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Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is00USD.The actual amount to be offered to the successful candidatewill be within that range dependent upon the key aspects of each case which may include education skillsexperience scope ofthe role location etc. as determinedthrough theselection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

AI Usage in the Recruitment Process

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Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 454105 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid