Siemens Digital Industries (DI) is a global leader in automation and digitalization. In close collaboration with partners and customers, we drive digital transformation across process and discrete industries. Our Digital Enterprise portfolio delivers an end-to-end ecosystem of products, solutions, and services that help organizations of all sizes integrate and digitalize their entire value chain.
Our industry-focused portfolio enables customers to achieve greater efficiency, flexibility, and innovation. We continuously evolve our technology stack by integrating groundbreaking future technologies. Siemens Digital Industries Software is headquartered in Nuremberg, Germany, and employs approximately 75,000 people worldwide.
We offer a role that combines responsibility, autonomy, and the opportunity to contribute proactively. Our culture promotes teamwork, ownership, and continuous individual development.
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We're looking for a Principal Machine Learning Engineer to lead LLM‑powered application development—from prototype to production—on AWS. You’ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly’s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
Responsibilities:
- Build LLM applications: Design and deliver RAG pipelines, prompt workflows, agent tools, safety guardrails, and evaluation frameworks — optimizing for performance, cost, and quality.
- Own the ML lifecycle end-to-end: From data prep and feature engineering to fine-tuning (LoRA/QLoRA), testing, deployment, monitoring, and continuous improvement.
- Productionize on AWS: Launch scalable ML services using AWS infrastructure and ML tooling, with strong observability and cost efficiency.
- Scale training & inference: Apply distributed training, quantization, caching, and vector databases to improve performance and efficiency.
- Drive MLOps & governance: Build CI/CD pipelines for ML, manage model/version registries, track experiments, and enforce responsible AI practices.
- Partner cross-functionally: Work with product and engineering teams to turn real asset-management problems into customer-facing ML solutions.
- Mentor & lead: Provide technical guidance, review designs, and elevate ML engineering standards across the team.
- Analyze data deeply: Perform EDA on structured and unstructured data to uncover insights, patterns, and quality issues.
- Research domain signals: Investigate operational and asset datasets to identify trends, root causes, and predictive opportunities.
Qualifications:
- B.Sc. in Computer Engineering or Electronics Engineering.
- 10+ years in software/ML engineering, including 3+ years running production ML systems end-to-end.
- Hands-on experience building LLM applications (RAG, fine-tuning, prompt engineering, evaluators/guardrails, agent workflows) using tools like LangChain/LangGraph.
- Strong AWS background (3+ years), including core infrastructure and ML services such as SageMaker and Bedrock.
- Solid modeling stack: Python, PyTorch, Hugging Face, embeddings/vector databases, and LLM evaluation techniques.
- Proven MLOps experience: CI/CD for ML, experiment tracking, model registries, monitoring, and automated retraining pipelines.
- Good data engineering foundations: ETL/ELT pipelines, streaming/batch processing (Spark/Flink), and data governance practices.
- Experience with distributed training, RLHF, or optimization on specialized AI hardware is a plus!
- Preferrably has background in asset, sustainability, or intelligent operations domains.
- Familiarity with enterprise ML security and compliance practices is nice to have.
We’re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
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