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Strong brand, mid-level generalist Data Scientist title, and 5+ years experience make competition high.
Advanced ML and agentic AI skills are transferable, but food R&D context adds moderate domain specificity.
Mandatory Master's/PhD, explicit 5+ years, advanced ML and production deployment requirements increase strictness.
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.
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.
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.