Machine Learning Developer

Siemens Energy is driving the energy transition through innovative technologies and sustainable solutions. They are looking for a skilled ML developer to design, implement, and deploy end-to-end machine learning solutions that directly impact operational and product systems.

As the successful candidate, you will:

• Develop, train, and optimize ML models for real-world applications.
• Prepare, transform, and validate complex datasets to ensure model reliability.
• Apply best practices in model evaluation, mitigating data leakage, and managing the bias/variance trade-off.
• Deploy and monitor models using MLOps approaches (Docker, CI/CD, cloud platforms like AWS/Azure/GCP).
• Collaborate closely with engineering and product teams to integrate ML solutions seamlessly into production.
• Work with modern ML frameworks and libraries such as PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs.
• Write modular, production-grade Python code and maintain proper version control with Git.

• 5+ years of experience designing and implementing production-ready ML solutions.
• Strong expertise in ML algorithms, model development, training, validation, and optimization.
• Proven experience deploying and maintaining production ML models.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Demonstrated ability to work with complex real-world datasets and perform feature engineering.
• Familiarity with modern ML frameworks and libraries, including PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs.
• Excellent problem-solving skills and ability to work cross-functionally with engineering and product teams.

This is an exciting opportunity to work with Siemens Energy on impactful projects in a collaborative, forward-looking environment.