Senior 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 a Senior Machine Learning Engineer for Digital Manufacturing, you will be joining the Digital Manufacturing Group and play a key role in shapingthe AI/ML/GenAI solutions. You will lead best practices for analyticsusecase development, deployment, scaling, and maintenance of AI/ML projects, while mentoring junior engineers and influencing technical strategy.

Responsibilities

• Lead the development and deployment of AI/ML models for complex Digital Manufacturing use cases.

• Architect scalableAI/ML solutions andoptimisedata pipelines.

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

• Mentor junior engineers andestablishtechnical best practices for AI/ML development and deployment.

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

Required Qualifications

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

• A minimum of4years of experience in ML engineering or Applied AI, with proven leadership in technical projects.

• Advancedproficiencyin AI/ML techniques and frameworks (incl.PyTorch, Scikit-Learn,LangChainetc.), and model deployment strategies.

• Strong understanding ofMLOps, 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 andleadcross-functional international teams.

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

Preferred /Nice to have

• Master's degree in 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.