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Metro Bangalore location, broad required tech stack, and visible AI focus yield moderate competition.
ML/AI and MLOps specialization means moderate cross-industry transferability, with some domain specificity.
Explicit 10+ years and mandatory ML/AI, MLOps, and data platform skills create high shortlisting strictness.
Lead design, architecture, and delivery of scalable Generative and Agentic AI systems and workflows for Life Sciences and Healthcare products.
Collaborate cross-functionally with product, engineering, analytics, and business stakeholders to build AI-enabled data products aligned to strategic priorities.
Establish engineering standards, mentor engineers, and drive AI initiatives including MLOps, model productionization, and integration of Generative AI/LLMs into enterprise applications.
Bachelor’s Degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence, or related field.
10+ years of experience building and delivering production-grade software with AI-powered product capabilities.
Strong proficiency in Python, PySpark, SQL, Snowflake, Databricks, Airflow, Delta Lake, and cloud platforms (AWS or Azure).
Work Experience Required: 10+ years; Location: Bangalore with hybrid work model.
Experience in leading complex AI system architectures and delivering end-to-end AI/ML engineering solutions in regulated Life Sciences or Healthcare domains.
Demonstrated ability to partner effectively with product managers, business analysts, and executive leadership to drive measurable business outcomes.
Hands-on expertise in MLOps, scalable feature engineering pipelines, and integrating advanced AI technologies like Generative AI and vector databases into production environments.