AI/Machine Learning Engineer

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

• Assist in building and maintaining ML and basic Generative AI pipelines (data preprocessing, training, evaluation, and inference).
• Support development of simple RAG-based and NLP workflows under guidance.
• Work on text processing tasks such as data cleaning, parsing, chunking, and embeddings.
• Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities.
• Help integrate AI models into applications and support deployment activities.
• Write clean, modular, and testable Python code following best practices.
• Collaborate with senior engineers and cross-functional teams to deliver features.
• Debug, test, and optimize models and pipelines for performance and reliability.
• Stay updated with basic advancements in AI/ML and Generative AI.

What You Bring

• Bachelor’s degree in computer science, IT, or related field.
• 0–3 years of experience or strong academic/project background in AI/ML.
• Good programming skills in Python and strong problem-solving ability.
• Basic understanding of ML concepts, NLP, and model evaluation.
• Exposure to libraries such as NumPy, Pandas, scikit-learn, or PyTorch/TensorFlow.
• Familiarity with Generative AI concepts (LLMs, prompt engineering, or RAG is a plus).
• Basic understanding of APIs and backend development.
• Exposure to cloud platforms (AWS/Azure) is a plus.
• Knowledge of Git and basic software development practices.
• Willingness to learn, adapt, and work in a fast-paced environment.

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. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world’s electricity generation. Our distributed team is committed to making sustainable, 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.

Find out how you can make a difference at Siemens Energy: Employee Video

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.