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Strong employer brand, metro location, and broad ML/GenAI manager role increase applicant density.
Core ML/GenAI and managerial skills are transferable, though biopharma domain knowledge is beneficial.
Explicit 7+ years or 5+ education-contingent, plus required people leadership and ML production skills.
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Lead and deliver GenAI, machine learning, and advanced analytics products across multiple BMS functions, focusing on hands-on technical delivery of AI solutions.
Manage and develop a team of approximately 3–10 data scientists/ML engineers, including hiring, mentoring, and capability building in GenAI, MLOps/LLMOps, and responsible AI.
Act as the primary delivery and accountability liaison between US stakeholders and the Hyderabad team, translating business needs into clear workstreams and ensuring quality delivery.
Master’s or Ph.D. with 5+ years, or Bachelor’s with 7+ years in data science, ML/AI engineering, or related applied AI roles.
Minimum 2 years of direct people management or formal team leadership experience.
Hands-on experience with LLM-based systems (RAG, orchestration, evaluation, production deployment).
Work Experience Required: 5+ years (Master’s/PhD) or 7+ years (Bachelor’s) in relevant fields; Notice Period: Not explicitly mentioned in the JD.
Technically deep operator comfortable with hands-on GenAI/ML development and production-grade delivery, including stats, coding (Python/R), and cloud-native AI solutions (AWS/Azure).
Experienced leader capable of managing and scaling a 3–10 person team, balancing hands-on delivery with team and culture development.
Effective cross-functional influencer adept at coordinating US-Hyderabad stakeholder relationships in a matrixed global environment and translating ambiguous problems into structured, measurable AI projects.