Machine Learning Engineer for Digital Manufacturing

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets.For more information, visit .

Introduction

As aMachine LearningEngineerfor Digital Manufacturing, you will bejoiningtheDigital Manufacturing Groupand perform a key rolewithin theAI Integrationteam andassistin theAI/ML/GenAI solutions technical requirements.You will helpestablishbest practices foranalyticsusecase development, deployment, scaling, and maintenance of AI/ML projects.

Responsibilities

• Support the AI Integration Team indeveloping and deploying AI/ML models.

• Work withhighly complexdata for feature development using AI/ML models.

• Work closely with teams in Digital Manufacturing and other stakeholders to define projectobjectives, deliverables, and timelines.

• Adapt to evolvingtechnologies and learn new tools and techniques. Committed to stay updated with theState-of-the-Artadvancements in AI/ML.

Required Qualifications

• Bachelor's degree in engineering, Computer Science, or related quantitative field.

• A minimum of 2 years of experiencein ML engineering or Applied AI.

• ProficiencyinAI/ML techniquesandframeworks(incl.PyTorch, Scikit-Learn,LangChainetc.), and model deployment strategies.

• Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools for model performance and drift detection.

• Practical experience with AWS services for ML deployment.

• Deep understanding of data pipelines, and data quality principles.

• Flexibility and ability to work with ambiguous problems and unstructured data.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a cross-functional international team.

• Strong problem-solving and analytical skills with a passion for building high-quality solutions.

Preferred/Nice to have

• Master's degreein engineering, Computer Science, or related quantitative field.

• Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions.

• Ability to enforce data quality standards andmaintaindata dictionaries.

• Experience with data governance frameworks and guidelines.

• Exposure to semiconductor/manufacturing domain.