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.
Introduction
As a Machine Learning Engineer for Digital Manufacturing, you will be joining the Digital Manufacturing Group and perform a key role within the AI Integration team and assist in the AI/ML/GenAI solutions’ technical requirements. You will help establish best practices for analytics use case development, deployment, scaling, and maintenance of AI/ML projects.
Responsibilities- Support the AI Integration Team in developing and deploying AI/ML models.
- Work with highly complex data for feature development using AI/ML models.
- Work closely with teams in Digital Manufacturing and other stakeholders to define project objectives, deliverables, and timelines.
- Adapt to evolving technologies and learn new tools and techniques. Committed to stay updated with the State-of-the-Art advancements in AI/ML.
- Bachelor's degree in engineering, Computer Science, or related quantitative field.
- A minimum of 2 years of experience in ML engineering or Applied AI.
- Proficiency in AI/ML techniques and frameworks (incl. PyTorch, Scikit-Learn, LangChain etc.), 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.
- 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 and maintain data dictionaries.
- Experience with data governance frameworks and guidelines.
- Exposure to semiconductor/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.