Senior Machine Learning Engineer

SAP SE

Palo Alto, California, United States

Palo Alto, California, United States

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À propos

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, and we aim to combine the power of LLMs with Knowledge Graphs to tackle business AI problems in SAP applications.
Responsibilities
Work closely with the lead architect to craft solutions to challenges facing Data Scientist partners.
Collaborate with SAP data scientists to understand projects and their needs.
Create high‑level requirements and designs.
Help define architectural and coding best practices; participate in software design and code reviews with frontend, backend, full‑stack, Dev‑Ops, and AI engineering teams.
Support the product team with technical feasibility analysis, solution proposals, and ballpark effort estimations.
Contribute to all processes of the ML lifecycle: data collection, annotation, modeling, evaluation, deployment, and monitoring.
Required Qualifications
Master's of Science degree in Software Engineering.
Experience designing, developing, deploying, and testing multi‑tenant business applications in the cloud, focusing on backend infrastructure and AI models.
Experience building data‑driven microservices, APIs, CI/CD pipelines, data pipelines, TDD, Docker containers, and Kubernetes; familiarity with one of the cloud providers.
At least 7+ years of professional experience as a developer.
3+ years working with SAP BTP platform & SAP AI Core.
Strong knowledge in Java, Python, and Node.js.
At least 2+ years of professional experience optimizing and serving Machine Learning models.
Experience with Python in Linux‑based environments, Git, and ML frameworks (PyTorch/TensorFlow).
Experience in data analysis and visualization; 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 Qualifications
Experience in data science or data engineering.
Experience working with Generative AI Models.
Experience working with SAP GenAI Hub tools and underlying architecture.
Familiarity with Git, Docker, Kubernetes, AWS, GCP, Azure, ReactJS, SAP UI5.
Compensation The targeted annual combined range for this position is 148,600-306,300 USD, inclusive of base salary and variable incentive target. The actual amount offered will be within that range, dependent upon education, skills, experience, scope of the role, location, and other factors as determined by the selection process.
EEO Statement Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability.
Job Reference Requisition ID: 455061 | Work Area: Software‑Design and Development | Expected Travel: 0‑10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI‑Hybrid
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Palo Alto, California, United States

Compétences linguistiques

English

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