Siemens Energy

A Snapshot of Your Day

We are seeking a skilled AI/Machine Learning Engineer to join our team and help build innovative machine learning solutions that drive business outcomes. You will collaborate with cross-functional teams including data scientists, software engineers, and product managers to design, develop, and maintain robust machine learning models and workflows. Your work will involve transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to provide seamless user experiences and enhanced functionality.

How You’ll Make an Impact

• Design, develop, and own end-to-end machine learning and Generative AI workflows, covering data ingestion, preprocessing, training, evaluation, deployment, and inference.
• Build production-ready GenAI systems, not limited to model logic, but including API design, data pipelines, orchestration, monitoring, and scalability.
• Design and implement multi-step RAG (Retrieval-Augmented Generation), agentic, and tool-augmented workflows using Python and frameworks such as LangChain and LangGraph.
• Lead NLP and text-processing pipelines, including document parsing, text cleaning, normalization, chunking strategies, embeddings, metadata enrichment, and retrieval optimization.
• Build, optimize, and maintain RAG pipelines using vector databases such as FAISS and AWS OpenSearch.
• Stay up to date with the latest advancements in agentic AI, LLM orchestration, prompt engineering, and GenAI tooling within the Python ecosystem.
• Write, evaluate, and continuously optimize prompts, chains, and agents to improve accuracy, latency, and cost efficiency of AI-driven applications.
• Develop and integrate backend services and APIs (e.g., FastAPI) to expose AI/ML capabilities to downstream systems and user-facing applications.
• Collaborate closely with cross-functional teams (engineering, product, platform) to design, deploy, and maintain applications across multiple platforms.
• Write, review, and maintain high-quality, readable, and testable code, following software engineering best practices.
• Conduct unit testing, integration testing, and validation to ensure robustness and reliability of ML and GenAI systems.
• Ensure strong alignment between business requirements and delivered product features.
• Diagnose, optimize, and resolve performance, scalability, and reliability issues across different environments.

What You Bring

• Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.
• 4.5+ years of professional experience as a Machine Learning Engineer, AI Engineer, or Software Engineer working on AI-driven systems.
• Strong software engineering background, with hands-on experience in building production-grade applications, not just research prototypes.
• Advanced proficiency in Python, with practical experience using libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.
• Strong NLP and text-processing experience is mandatory, including document processing, text analytics, embeddings, retrieval strategies, and language-model-based workflows.
• Hands-on experience with Generative AI and LLM-based systems, including RAG, agents, prompt engineering, and orchestration frameworks (LangChain, LangGraph, or similar).
• Cloud experience is mandatory: strong hands-on experience with either AWS or Azure (one is required).
• AWS examples: Lambda, S3, ECS, SageMaker, Step Functions
• Azure examples: Azure OpenAI, Azure Functions, Storage, App Services
• Experience building and integrating REST APIs and backend services for AI/ML applications.
• Familiarity with Agile development practices and cross-team collaboration.
• Proficiency with version control (Git) and CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.
• Understanding MLOps and production ML best practices, including model deployment, monitoring, versioning, and lifecycle management.
• Experience with model testing and validation frameworks such as MLflow, PyTest, or similar.
• Strong problem-solving, analytical thinking, and communication skills.
• Ability to work under pressure, manage tight deadlines, and switch between multiple projects (application development, GenAI systems, and ML research) as neededinternationally.
• Valid driver's license and the ability to obtain necessary travel documentation.

About the Team

In the central Digital Products and Solutions (DPS) organization, our Software Application and Engineering department is responsible for developing software solutions for both internal and external customers.

In DPS, our software products already cover a wide range of categories, and we see many opportunities for growth: Asset Performance Management, Energy Management, Asset Monitoring, Asset Health Prediction, Customer Portal & AI-assisted Applications, Connectivity & Edge, Backend Core / Domain /

Platform Services and Professional Services.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

Our global team is committed to making balanced, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

"Let’s make tomorrow different today" is our genuine dedication at Siemens Energy to all customers and employees on the way to a balanced future.

Check out this video to learn more about Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Regards

• We offer options to work flexibly, especially after successful onboarding – whether it be working remotely, flexible working hours or a combination of both
• Working with a distributed team
• Opportunities to work on and lead a variety of innovative projects
• Supportive work culture

https://jobs.siemens-energy.com/jobs