About the role

AI summarised

Senior Data Scientist role at Micron Technology, a semiconductor company, focusing on applying AI/ML and generative AI to production planning optimization, developing agentic AI systems, and implementing RAG-LLM solutions. The role involves mentoring junior data scientists and requires strong technical skills in Python, LLMs, and cloud technologies.

IDMFull-timeSmart MFG/AI

Key Responsibilities

Production Planning Optimization: Collaborate with domain experts to translate complex production planning problems (e.g., resource allocation, capacity planning) into AI/ML and Agentic solutions.
Agentic AI Development: Design and implement multi-agent systems for Assembly and Test Planning and Operation. Build agent orchestration frameworks that coordinate multiple specialized agents (planning, scheduling, resource allocation, quality control). Implement tool-using capabilities, function calling, and agent memory systems. Implement comprehensive monitoring, logging and observability for agentic systems.
RAG-LLM Development: Identify potential data sources for RAG implementation. Develop advanced retrieval strategies including hybrid search, re-ranking, and contextual compression.
Productionalization & Engineering: Develop and maintain comprehensive unit tests for all code components. Implement guardrails, hallucination detection, and output validation. Optimize system performance, latency, token and cost efficiency.
Mentorship: Guide and mentor junior data scientists, driving best practices in code quality, system architecture and applied AI research.

Requirements

Master's or Ph.D. in Computer Science, Data Science, Operations Research, Mathematics, or a related highly quantitative field.
5+ years of industry experience in Data Science.
Proven track record in data science methodologies, machine learning, and statistical modeling, with hands-on experience in Generative AI/LLM projects.
Proficiency in Python, with strong knowledge of LLM, Agents, Machine Learning and Statistical Techniques.
Familiarity with building streamlit, dashboards, and API.
Project experience in AGILE, Software Development Lifecycle, JIRA, Change management, Release management and Configuration Management.
Technologies: Google Cloud Platform, Git, Bitbucket. Data visualization tools (Streamlit, Tableau, Power BI, etc.) Docker, Containerization, Kubernetes.
Excellent communication skills (written and verbal) and stakeholder management.
Ability to work multi-functionally with peers, senior and mid-level management.
Strong problem solving skills with structured and logic approaches.
Highly organized and adaptable to changing business needs.
At least 2 years focused on Generative AI, or LLM applications. Prior experience in building agentic system is highly desirable.
Knowledge of semiconductor manufacturing and planning processes and systems (e.g., MES, SAP), with experience in resource optimization or line management considered an advantage.