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Senior AI & ML Engineer - Siemens
ML Engineer
Senior AI & ML Engineer designing and deploying Generative AI, RAG pipelines, and multi‑agent systems to automate digital grid workflows using Python and PyTorch on scalable cloud platforms.
About the role
Key Responsibilities
- Design, prototype, and production‑grade deploy Generative AI solutions, including Retrieval‑Augmented Generation (RAG) pipelines and multi‑agent architectures.
- Collaborate with solution architects, software developers, and data engineers to integrate AI models into enterprise‑grade systems.
- Translate cutting‑edge research into practical, scalable applications that address digital grid challenges.
- Conduct performance benchmarking, model fine‑tuning, and continuous improvement of AI pipelines.
- Document architecture, code, and best practices for cross‑functional teams.
Requirements
- Strong research background in AI foundation models and experience with PyTorch or TensorFlow.
- Proficiency in Python, data engineering, and cloud deployment (AWS, Azure, or GCP).
- Hands‑on experience building RAG pipelines and multi‑agent systems.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
- Effective communication skills for collaborating with cross‑functional teams.
Skills
pythonpytorchgenerative airag