\\\\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\\\`ll do:\\\\ Summary: At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. Our goal is to combine the power of LLMs with Knowledge Graphs for business AI problems in SAP applications. We are building a nimble and versatile engineering team to empower our Data Scientists within the AI Foundations and Research team. This team will be responsible for developing cutting-edge tools, providing development resources for proof-of-concept projects, and collaborating on groundbreaking Gen AI initiatives. Our ultimate objective is to expedite the development and implementation of innovative Gen AI features throughout SAP. Join us in this exciting journey of revolutionizing the future of AI! As an ML Engineer on this team you will be responsible for helping to design and implement a variety of projects around the GenAI space. The Role: · Collaborate with the team to craft solutions to the many challenges facing our Data Scientist partners. · Work closely with SAP data scientists to understand their projects and their needs. · Follow and help define architectural / coding best practices and participate in software design and code reviews with the development team consisting of frontend-, backend-, full-stack, Dev-Ops and AI engineers. · Support the product team with technical feasibility analysis, solution proposals, and ballpark effort estimations. \\\\What you bring:\\\\ Required: · Bachelor, degree in Computer Science, Artificial Intelligence, or other relevant disciplines. · Experience in developing data-driven microservices, APIs, CI/CD pipelines, Data pipelines, TDD, hands-on experience with docker containers and Kubernetes, familiar with one of the cloud providers. · At least 3 years of professional experience as developer. · Strong knowledge in Java, Python and NodeJs. · Experience with Python in Linux-based environments, Git, and ML frameworks (PyTorch/TensorFlow) · Experience in data analysis and visualization and strong knowledge in SQL or Postgres. · Ability to work in an agile environment using SCRUM methodology. · Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams. Preferred: · Experience in designing, developing, deploying, and testing multi-tenant business applications in the cloud with a focus on backend infrastructure. · Experience in developing data-driven microservices, APIs, CI/CD pipelines, TDD, hands-on experience with docker containers and Kubernetes, familiar with one of the cloud providers. · Experience in data science or data engineering · Knowledge about the SAP Business Technology Platform · Familiarity with JSON, Git, docker, Kubernetes, AWS, GCP. \\\\Meet your team:\\\\ · The SAP's Business AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally. \\\\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. 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: . 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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. \\\\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 combined range for this position is 122400 - 208000(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection 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\\\\ 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 () . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 447793 \\\| Work Area: Software-Design and Development \\\| Expected Travel: 0 - 10% \\\| Career Status: Professional \\\| Employment Type: Regular Full Time \\\| Additional Locations: #LI-Hybrid

A Bachelor's degree in Computer Science, Artificial Intelligence, or other relevant disciplines is required. Candidates must have at least three years of professional experience as a developer. Experience is needed in developing data-driven microservices, APIs, CI/CD pipelines, Data pipelines, and TDD. Hands-on experience with Docker containers and Kubernetes, along with familiarity with one of the cloud providers, is also required. Strong knowledge in Java, Python, and NodeJs is essential, as is experience with Python in Linux-based environments, Git, and ML frameworks like PyTorch or TensorFlow. Experience in data analysis and visualization, along with strong knowledge in SQL or Postgres, is necessary. The ability to work in an agile environment using SCRUM methodology is also a requirement.