Senior Machine Learning Engineer - Digital Manufacturing

Senior Machine Learning Engineer

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 www.gf.com

Your job:

As a Senior Machine Learning Engineer – Digital Manufacturing, you will join the Digital Manufacturing Group and play a key role in shaping AI/ML and Generative AI (GenAI) solutions. You will lead best practices across analytics use case development, deployment, scaling, and lifecycle management of AI/ML systems, while mentoring junior engineers and influencing technical strategy at scale.

Responsibilities

• Lead the design, development, and production deployment of AI/ML and GenAI models for complex Digital Manufacturing use cases.
• Architect scalable, reliable ML systems and optimize end-to-end data and model pipelines.
• Collaborate closely with Digital Manufacturing teams and cross-functional stakeholders to define project objectives, success metrics, deliverables, and timelines.
• Establish and advocate best practices for ML engineering, MLOps, model governance, and system reliability.
• Mentor junior engineers and provide technical leadership across international teams.
• Stay current with state-of-the-art (SoTA) advancements in AI/ML and GenAI, adapting emerging technologies to real-world manufacturing challenges.

Required Qualifications

• Bachelor’s degree in engineering, Computer Science, or a related quantitative field.
• 10+ years of experience in ML Engineering or Applied AI, with demonstrated leadership on complex technical projects.
• Advanced proficiency in AI/ML frameworks and techniques (e.g., PyTorch, Scikit-learn, LangChain, etc.) and model deployment strategies.
• Strong understanding of MLOps, CI/CD pipelines for ML, and monitoring systems for model performance and drift detection.
• Hands-on experience with AWS services for ML model training, deployment, and scaling.
• Deep understanding of data pipelines, data quality principles, and working with large, unstructured datasets.
• Ability to navigate ambiguity, solve complex problems, and deliver high-quality, production-ready solutions.
• Excellent communication and collaboration skills with the ability to work independently and lead cross-functional, global teams.

Preferred / Nice to Have

• Master’s degree in engineering, Computer Science, or a related quantitative field.
• Experience with multi-cloud platforms (AWS, Azure, Google Cloud) for AI/ML solutions.
• Exposure to GenAI architectures (LLMs, RAG, embeddings, prompt engineering).
• Experience enforcing data quality standards, maintaining data dictionaries, and working with data governance frameworks.
• Background or exposure to the semiconductor or manufacturing domain.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

 

Experience Level

Senior Level