Top AI & Machine Learning Jobs

The role involves employing data science techniques to develop predictive models and actionable insights, collaborating with teams to analyze data, and deploying solutions into production.

Design, build, and deploy large-scale ML and GenAI solutions for manufacturing: train and optimize LLMs on multi-GPU clusters, develop agentic AI, profile GPU performance, and maintain scalable data and CI/CD pipelines to production.

Develop a proof-of-concept agentic AI planning ecosystem for semiconductor fab space utilization, tool placement, capacity optimization, and scenario-based decision support. The intern will design and evaluate coordinated AI agents, analyze planning data and trade-offs, apply optimization and operations research techniques, document findings, and present recommendations for improving manufacturing planning effectiveness.

Lead a portfolio of AI initiatives for construction from concept to adoption. Partner with construction, engineering, operations, and tech teams to define use cases, manage roadmaps, budgets, governance, risk, and success metrics, and drive pilots, training, and responsible AI practices to improve safety, quality, cost, and schedule.

Design, build, and ship end-to-end production AI applications for smart manufacturing: data pipelines, model training/inference, APIs, web/mobile front-ends, on-prem/edge deployment, MLOps, monitoring, Responsible AI, and integration with robotics and MES.

Lead a data science team to deliver cost-optimization analytics and AI solutions for procurement and manufacturing. Own model development, production deployment, monitoring, and governance. Drive adoption of Generative AI, LLMs, and agentic systems to produce measurable cost savings and integrate solutions into business workflows while mentoring staff and managing hiring and resource allocation.

Lead design and deployment of agentic AI for manufacturing planning and operations. Build multi-agent systems combining LLM reasoning and optimization (MIP, heuristics, simulation), integrate agents with data pipelines and enterprise systems, and deliver solutions for capacity planning, production flow optimization, and decision automation. Partner with planning, operations, data engineering, and MLOps teams to translate domain requirements into deployable AI workflows and reusable orchestration frameworks.

Leads smart manufacturing data science initiatives for the F10 organization, serving as the bridge between site leadership, users, and enterprise teams. Responsibilities include prioritizing requirements, driving solution adoption, balancing local support with network best-practice deployment, evaluating capabilities, coordinating cross-functional projects, monitoring deliverables, and managing competing resources and priorities.

Lead end-to-end design, development, and deployment of ML and analytical solutions for global manufacturing; mentor teams; consult with site teams; prototype use cases; perform EDA and feature engineering on structured and unstructured data.

This internship involves assisting in machine learning development, AI automation, data engineering, and exploring innovative projects to enhance test efficiency and engineering productivity.