Top AI & Machine Learning Jobs

Design and deploy computer vision and deep learning solutions for manufacturing inspection and monitoring. Extract and clean large datasets, build multimodal AI models, apply MLOps for production deployment, and collaborate with cross-functional teams to translate research into operational systems and documentation.

As a Data Scientist, you will analyze large datasets, develop predictive models, and improve existing tools while collaborating with teams for data analysis projects.

Design, build, and deploy end-to-end production AI applications for manufacturing: data pipelines, model training/inference, web/mobile front-ends, APIs, robotics integration, digital twins and 3D simulation, LLM/agent integration, containerized edge/cloud deployment, GPU inference optimization, CI/CD, and Responsible AI practices to support fab operations and autonomous systems.

The role involves developing AI and ML solutions for semiconductor workflows, training Citizen Data Scientists, and integrating intelligent agents into engineering processes.

Design, build, test, and deploy production-ready AI agents, predictive models, and RPA-driven automation integrated with enterprise systems. Partner with process architects and stakeholders to implement agentic workflows, conduct UAT, monitor performance, manage lifecycles, document solutions, and drive adoption while ensuring compliance with AI governance and quality standards.

Build and operate production-grade full‑stack applications with AI as a first-class capability: design and implement custom AI agents, integrate LLMs/RAG and MCP-based tooling, harden AI components for mission-critical manufacturing, and own features end-to-end from design through deployment, observability, and lifecycle support while collaborating with business teams.