Top AI & Machine Learning Jobs

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.

The Senior Data Scientist will develop digital twin solutions for semiconductor fabs, utilizing machine learning, predictive analytics, and simulation tools to optimize operations and enhance decision-making processes.

The role involves developing AI solutions, automating processes, ensuring security measures, and enabling AI literacy across teams while adhering to compliance standards.

The Solutions Engineer Intern supports the AI Process Intelligence team, participating in projects, testing, documentation, and proof-of-concept development while learning from senior engineers.

Design and deploy computer vision and deep learning models (CNN, LSTM, transformers) for industrial inspection and anomaly detection; extract, clean, and analyze large multimodal datasets; implement MLOps (MLflow, Airflow, Docker) for production deployments; collaborate across engineering, operations, and quality teams; mentor engineers and contribute research outputs and technical documentation.

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.

Develop and deploy AI/ML and analytics solutions for Facilities Mechanical systems (HVAC, chillers, boilers, CDA, cleanroom air). Build predictive maintenance models, dashboards, digital twins, and automation to improve reliability, energy efficiency, and operational decision-making. Collaborate with controls, IT, and operations to integrate SCADA/BMS/PLC data, ensure data quality and governance, and drive digitalization of maintenance workflows while supporting change management in a 24/7 fab environment.

As a Senior Data Scientist, you will develop AI technologies, perform data analysis, build scalable systems, and drive innovation within engineering processes.

Design, build, and maintain scalable full-stack applications with cloud-native microservices and REST APIs. Integrate AI capabilities (LLMs, RAG, agentic workflows), ensure performance, observability, and reliability, own the full SDLC, and partner with stakeholders to deliver resilient, production-grade solutions.

Design and build hands-on AI upskilling content: labs, end-to-end workflows, templates, prototypes and master classes. Integrate and evaluate AI tools/platforms, mentor engineers, co-develop partner content, and scale reusable enablement for citizen developers across the enterprise.