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Global FMCG brand and broad GenAI requirements attract applicants, but senior 10–12 years reduces applicant density.
Advanced GenAI and FMCG/supply‑chain preference increases domain specificity, limiting cross‑industry fit.
Explicit 10–12 years, Tier‑1 degree requirement, production ML/GCP and domain experience create strict filters.
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Lead design and delivery of scalable data science solutions involving Core ML, Generative AI, and Agentic AI to solve high-value business problems.
Partner with business stakeholders for problem framing, translating needs into measurable outcomes, and communicating insights.
Oversee ML model development, MLOps for production deployment, apply Responsible AI practices, and mentor junior team members.
10-12 years of relevant analytics or data science experience with production ML and AI solutions delivery.
Bachelor’s or Master’s in CS, AI, ML, Statistics, Applied Math, OR related quantitative field from a Tier 1 institute.
Strong expertise in supervised machine learning, production ML practices (MLOps), and proficiency in Python, SQL, and Google Cloud Platform.
Experience in FMCG/CPG domain is required; supply chain analytics experience preferred.
Proven ability to lead end-to-end advanced AI/ML solutions involving Generative AI, LLM, NLP, and Agentic AI workflows.
Experience architecting and optimizing complex AI workflows with tools like Vertex AI, LangChain, and vector databases.
Strong stakeholder management and consulting skills to influence technical and non-technical audiences in a large enterprise environment.