Data Scientist II
General Mills (company site, opens in a new tab)5+ yrsMumbaiHybridDirect career pageEst. 18–32 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy intelligent, autonomous AI agents using LLMs, RAG, and agentic architecture frameworks.
- Lead end-to-end data science projects including predictive modeling, advanced analytics, and machine learning model lifecycle.
- Manage multiple AI/ML projects independently focusing on scalability, MLOps, and performance monitoring.
Minimum Requirements
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field.
- At least 5 years of experience building and deploying machine learning models, with hands-on experience in Agentic AI systems.
- Proficiency in Python/R, PyTorch, TensorFlow, Keras, and cloud platforms (AWS/GCP/Azure) with experience in MLOps and production deployment.
- Work in 11:00 AM to 8:00 PM shift.
Ideal Candidate Profile
- Experienced in designing autonomous AI agents with multi-step reasoning and task orchestration using emerging GenAI and agentic AI patterns.
- Skilled at independently managing multiple complex AI/ML projects from problem definition to deployment in enterprise or R&D settings.
- Strong technical proficiency in scalable ML pipelines, computer vision/image analysis, and advanced analytics to address industry-specific challenges.