Top AI & Machine Learning Jobs

Build and deploy full-stack AI applications for smart manufacturing, including data pipelines, machine learning models, APIs, web interfaces, LLM integrations, automation tools, and observability. Develop containerized solutions with Docker and Kubernetes/OpenShift, contribute to CI/CD and MLOps practices, integrate robotics and manufacturing systems, and apply Responsible AI controls. Collaborate with data scientists, software engineers, and manufacturing stakeholders to improve operational decision-making and autonomous operations.

Design, build, and deploy production AI applications for semiconductor manufacturing. Responsibilities include developing full-stack machine learning solutions, APIs, web applications, data pipelines, LLM and agentic AI capabilities, analytics, and integrations with robotics, automation, control systems, and MES platforms. The role also leads deployment, observability, CI/CD, model evaluation, responsible AI, optimization, testing, mentoring, and technical documentation across global manufacturing environments.

Design, develop, deploy, and support AI-enabled full-stack applications for enterprise and manufacturing operations. Responsibilities include building AI agents, MCP integrations, LLM and RAG solutions, backend services, APIs, databases, cloud-native systems, and CI/CD pipelines. The role owns solutions across architecture, testing, observability, deployment, security, and operational support, including participation in a rotating 24x7 on-call schedule.

Leads the architecture and delivery of production AI products for autonomous semiconductor manufacturing. Responsibilities span data engineering, machine learning, GenAI, full-stack applications, robotics integration, digital twins, simulation, and edge-to-cloud deployment. The role also owns CI/CD, observability, model evaluation, Responsible AI, performance optimization, technical mentorship, and cross-functional delivery across software, manufacturing, robotics, and infrastructure teams.

Designs and delivers agentic AI systems that transform complex business processes into autonomous, scalable workflows. Responsibilities include process decomposition, AI architecture, agent and tool orchestration, prompt and context strategy, prototyping, secure-by-design controls, human-in-the-loop governance, cross-functional delivery, value measurement, playbook development, and mentoring. The role requires hands-on experience with LLM-based systems, enterprise AI platforms, automation, integrations, and business process redesign.

Lead strategy and scaling of Micron Global Procurement's agentic AI ecosystem. Drive AI adoption, design enablement programs for citizen and professional developers, deliver agentic AI solutions with strong UX and measurable business value, establish governance and delivery standards, and build high-performing teams across global procurement.

Develop an AI agent for NAND product-development project execution, including project-risk detection, mitigation recommendations, workflow integration, and evaluation. The intern will study engineering workflows, prototype AI applications using generative AI, large language models, agentic frameworks, and data analytics, then deploy and document the solution while collaborating with product-development engineers and stakeholders.

Architect scalable cloud, hybrid, and on-premise data analytics, AI, machine learning, and data science solutions for smart manufacturing. Lead architecture decisions, troubleshoot complex technical issues, collaborate across technical teams, and mentor data scientists, AI engineers, and product owners. The role requires hands-on expertise in enterprise data platforms, cloud technologies, software engineering, and emerging AI technologies.

Develop and deploy AI tools, agents, workflows, and intelligent automations using platforms such as Copilot Studio and UiPath. Integrate AI with enterprise systems, APIs, identity platforms, and knowledge bases. Build secure, governed, context-aware multi-agent systems using RAG, MCP, prompt engineering, and cloud AI platforms. Partner with cybersecurity, improve solutions through feedback, and promote AI literacy through documentation and training.

As a Senior Data Scientist, you'll develop AI-driven solutions for manufacturing optimization, engage in data analytics, and enhance decision-making across departments.