Senior Machine Learning Engineer

• Solution Development: Design, develop, and implement end-to-end machine learning pipelines for various use cases to improve our internal Siemens processes.
• Technical Leadership: Provide expertise in ML engineering best practices, including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches for scalable and maintainable solutions.
• Project Ownership and Management: Lead projects from conception to deployment, translating business requirements into scalable technical solutions, ensuring timely delivery and alignment with business objectives.
• Collaboration: Work closely with an international team of diverse backgrounds, including engineers, product managers, and other stakeholders, to integrate AI solutions into existing systems.
• Communication: Clearly articulate complex technical concepts to non-technical stakeholders and team members. Comfort with proactively raising concerns, suggesting alternatives, and engaging in constructive debate when appropriate
• Mentorship: Mentor junior team members and contribute to the overall skill development within the team.

Machine Learning, Machine Learning, Data Science, Team Player, Communication Skills, Production Systems, Use Cases, Technical Leadership, Best Practices, Data Modeling, We are seeking a highly skilled and motivated Senior Machine Learning Engineer / Data Scientist to join our team. The ideal candidate will possess a strong technical background in machine learning and data science, with strong experience in developing and deploying models in real-world production environments. This role requires an individual who works independently, takes ownership of projects, communicates effectively, and thrives in a collaborative team setting., * Education: Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field.

• Preferred 7+ Years of Experience in machine learning engineering or data science roles.
• Demonstrated ability to manage and deliver complex projects.
• Strong Proficiency in programming languages such as Python.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud-native ML development (Azure, AWS).
• Familiarity with large language models and natural language processing as well as experience with LLM frameworks (langchain, promptflow)
• Proven ability to deliver end-to-end projects (i.e. from exploration to endpoint serving)
• Knowledge of big data technologies (Snowflake, Spark).
• Experience with data visualization tools and libraries.
• Knowledge of software development best practices, including version control (e.g., GitLab) and collaborative coding.

We’re Siemens-a collective of over 312,000 minds building the future, one day at a time, across more than 200 countries. We are dedicated to equality and encourage applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination and help us shape tomorrow.