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Engineer - Data Science

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Onsite

Engineer - Data Science

Eaton Technologies

Engineer - Data Science

Skills

Data EngineeringDeep LearningData ScienceData AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,000,000 / year

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

2 September 2026

What they need


Role & responsibilities

Eaton Corporations Center for Intelligent Power has an opening for a Data Scientist who is passionate about his or her craft. The Data Science Engineer will be involved in the design and development of ML/AI algorithms to solve power management problems. In addition to developing these algorithms', the Data Science Engineer will also be involved in successful integration of algorithms in edge or cloud systems using CI/CD and software release process.

  • The candidate will demonstrate exceptional impact in delivering projects in terms of architecture, technical deliverables and project delivery throughout the project lifecycle. The candidate is expected to be conversant with Agile methodologies and tools.
  • Experience on data analysis, ML/AI model development and related development environment that enables ML/AI algorithms for use on various processors or systems
  • Work with a team of experts in deep learning, machine learning, distributed systems, program management, and product teams, and work on all aspects of design, development and delivery of end-to-end pipelines and solutions.
  • Development of technical solutions and implement architectures for project and products along with data engineering and data science teams.
  • Participate in architecture, design, and development of new intelligent power technology products and production quality end to end systems.

Preferred candidate profile

  • Masters Degree in Data Science
  • 2+ years of progressive experience in delivering technology solutions in a production environment
  • 2+ years of practical data science experience in the application of statistics, machine learning, and analytic approaches with a proven track record of solving critical business problems and uncovering new business opportunities
  • 2 years working with customers (internal and external) on developing requirements and working as a solutions architect to deliver"

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