Senior Machine Learning Engineer

About GlobalFoundries

GlobalFoundriesis a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds 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

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

• Bachelors 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

• Masters 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.