S

Senior Machine Learning Engineer / Data Scientist (m/f/d)

Siemens Electronic Systems Design & Manufacturing

2 days ago
New
Experience Level: Mid level Experience Length: 7 years

Job descriptions & requirements


Job ID
504094
Posted since
24-Apr-2026
Organization
Information Technology
Field of work
Information Technology
Company
Siemens Technology and Services Private Limited
Experience level
Experienced Professional
Job type
Full-time
Work mode
Hybrid (Remote/Office)
Employment type
Permanent
Any Siemens location in

  • Karnataka - India
  • Maharashtra - India
  • Tamil Nadu - India

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.
Your mission will be…

  • 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.

We are looking for someone with…

  • Education: Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field.
  • Experience:
  • Preferred 7+ Years of Experience in machine learning engineering or data science roles.
  • Demonstrated ability to manage and deliver complex projects.
  • Technical Skills:
  • 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.
  • Soft Skills:
  • Strong verbal and written communication skills:
  • Demonstrated ability to present ideas concisely and directly in international business contexts
  • Comfort with proactively raising concerns, suggesting alternatives, and engaging in constructive debate when appropriate
  • Experience bridging communication between global teams and navigating cultural differences in professional settings
  • Independent working style with a proactive approach to problem-solving.
  • High level of ownership and accountability for project outcomes.
  • Excellent teamwork and collaboration abilities.
  • Effective project management and organizational skills.
  • Fluent English required; German is beneficial but not mandatory

Please attach your CV in English.
#Siemens
Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!
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