Analog Devices is a global semiconductor leader enabling breakthroughs at the Intelligent Edge, bridging the physical and digital worlds
Job Summary
Analog Devices is a global semiconductor leader enabling breakthroughs at the Intelligent Edge, bridging the physical and digital worlds.
The Principal Data Scientist / ML Engineer will develop, deploy, and scale advanced analytics and machine learning solutions for manufacturing and supply chain use cases.
This role requires a blend of statistical, machine learning, software engineering, and MLOps skills to productionize reliable, maintainable, and impactful solutions.
Matching Summary
Analog Devices is a global semiconductor leader enabling breakthroughs at the Intelligent Edge, bridging the physical and digital worlds.
Skills & Requirements
Must-have
Machine learning model development
Production ML systems
Data and ML pipelines
MLOps concepts
Python programming skills
Software engineering best practices
Nice-to-have
Semiconductor manufacturing experience
Industrial analytics domain
Operations or supply chain domains
Communicate with non-technical audiences
Key Requirements
Bachelor’s, Master’s, or PhD in a quantitative field
Experience developing and deploying ML models in production
Experience with Git, testing, code reviews, packaging, and CI/CD
Experience building data pipelines and working with large-scale datasets