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Mid-level ML role in a metro with common ML skills balanced by GxP life-sciences specialization.
Requires regulated life‑sciences GxP experience and ML/NLP expertise, limiting cross-industry transferability.
Explicit five-year requirement plus mandatory ML, Snowflake, and GxP compliance skills increases filter strictness.
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Design and implement AI models and NLP/LLM pipelines for clinical protocol authoring integrating OCR and document intelligence.
Develop and test automation scripts for document ingestion, transformation, and Snowflake data validation ensuring GxP compliance.
Collaborate on assurance checks embedding and perform functional, regression, and compliance testing with test evidence and validation reporting.
4-5 years of experience in AI/ML development and QA/testing focusing on AI/ML systems.
Strong skills in Python, TensorFlow, PyTorch, LangChain, automation tools (PyTest, Selenium, Postman), and SQL with Snowflake expertise.
Experience in Life Sciences domain with knowledge of GxP qualification processes (IQ/OQ/PQ) and compliance with FDA/EMA guidelines.
Work Experience Required: 5 years; Location requirement: Chennai, Tamil Nadu, India; Travel: No travel required.
Experienced in building and validating AI/ML-driven automation within a regulated Life Sciences environment with compliance and audit readiness focus.
Hands-on with Snowflake SQL and integration supporting robust data accuracy and compliance verification.
Capable of designing configurable protocol modules and assurance checks collaborating closely with testing teams to embed compliance validation.