Senior Data Science & AI Specialist

This Position reports to:

What we believe in

At ABB, we are a worldwide technology leader committed to advancing the future of industrial digital innovations. Central to our mission is the Software Development Center, which creates advanced software to support industries dealing with substantial asset management issues.

Roles & Responsibilities:

To enhance our Process Automation Analytics team, we are looking for a Senior R&D Engineer with experience in machine learning to develop an extensive code base for industrial analytics applications. The candidate should have good knowledge of theory of statistics and machine learning. The focus should be on developing industrial analytic applications.

We are looking for Senior R&D Engineers with solid data science experience to conceptualize, define, and build industry-specific digital solutions in our Process Automation Digital organization. The candidate should have a good foundation in statistics, mathematics, and machine learning. The selected individual will be responsible for conceptualizing and implementing digital solutions for machinery and process monitoring and diagnostics.

Furthermore, the individual will create functional prototypes for assessment and demonstrations to clients. The candidate should leverage latest developments in AI/ML field with cross-functional industrial data and develop base algorithms for different asset performance and lifing scenarios under time-variant operating profiles.

The work model for the role is: Hybrid

You will be mainly accountable for:

• Responsible for validating predictive asset models across electrical, mechanical, and 800xA/FIM systems, ensuring accuracy and reliability.
• Collaborate with subject matter experts to ensure domain-specific correctness of asset models.
• Develop automated regression test packs to support predictive workflows and maintain model integrity.
• Integrate test results into CI/CD pipelines to enable continuous validation and improvement.

Qualifications for the role:

• Comprehensive understanding of electrical, mechanical, and control systems (800xA/FIM) is required.
• Practical involvement in verifying asset models in industrial settings to guarantee precision and dependability.
• Proficient in test automation using tools such as Python and Playwright.
• Solid understanding of predictive analytics and reliability engineering principles.
• Collaborates effectively with domain SMEs to ensure model correctness and alignment with industrial requirements.
• Experienced in developing automated regression tests for domain-specific validations to improve efficiency and model reliability.
• Holds a B.Tech or M.Tech degree with 58 years of experience in industrial asset management or predictive analytics, contributing to seamless integration and improved outcomes