Senior Machine Learning Engineer

What You'll Do

• 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 .
• 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