Senior Machine Learning Engineer/Data Scientist

6 days ago

Pune, Maharashtra, India Siemens Full time ₹ 15,00,000 - ₹ 20,00,000 per year

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 5+ 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

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