Senior Data Science & AI Specialist

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 5–8 years of experience in industrial asset management or predictive analytics, contributing to seamless integration and improved outcomes