About GF
GlobalFoundries® Inc. (GF®) is one of the world's leading semiconductor manufacturers. GF redefines innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions with leading performance in all growth markets. GF offers a unique mix of design, development and manufacturing services. With a talented and diverse team and manufacturing locations in the U.S., Europe and Asia, GF is a trusted technology provider to its global customers. GF employs approximately 13,000 people, including more than 3,000 in Dresden, Germany.
For more information, visit www.gf.com.
Introduction
As an 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.
Required Qualifications
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.
Preferred Qualifications
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.
We Offer
The position is open-ended and to be filled as soon as possible.
Attractive compensation components:
13th month salary, bonus payments, assistance with relocation to Dresden.
Flexible working time arrangements:
Family friendly part-time models, trust flextime, salary conversion into free time
Diverse opportunities for further development:
Career stages for every job, internal qualification offers, promotion of external educational qualifications
Focus on your health:
On-site gym and beach volleyball court, bike leasing, subsidized employee restaurant
Corporate culture:
Cooperation at eye level - everyone is on first name terms with us, budget for individual team events, social commitment via GlobalGives
You can find more benefits in detail at https://gf.com/de/careers/benefits/
The job advertisement refers to a position up to job level 6 on the GF career ladder.
This position is part of our employee referral program and will be rewarded with a referral bonus of €2,000 upon successful recruitment.
Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/
Skills Required
- Bachelor's degree in engineering, Computer Science, or related quantitative field
- Minimum 2 years of experience in ML engineering or Applied AI
- Proficiency in AI/ML techniques and frameworks (incl. PyTorch, Scikit-Learn, LangChain etc.)
- Familiarity with MLOps, CI/CD pipelines, and monitoring tools for model performance
- Practical experience with AWS services for ML deployment
- Deep understanding of data pipelines and data quality principles
- Excellent communication and collaboration skills
- Strong problem-solving and analytical skills
GlobalFoundries Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GlobalFoundries and has not been reviewed or approved by GlobalFoundries.
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Healthcare Strength — Comprehensive medical, dental, vision, life, disability, and mental health support is presented as a meaningful part of the package. Wellness programs and an Employee Assistance Program add to the sense of broad health coverage.
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Retirement Support — A 401(k) with matching from day one and access to an employee stock purchase program are positioned as notable financial benefits. Retirement provisions are repeatedly framed as a strong counterweight to other compensation concerns.
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Leave & Time Off Breadth — Time-off provisions are described as generous, including high annual vacation accrual, dedicated sick time, and additional personal days. Extended paid parental leave frameworks are also outlined as a substantial leave benefit.
GlobalFoundries Insights
What We Do
GlobalFoundries (GF) is one of the world’s leading semiconductor manufacturers. GF is redefining innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions that provide leadership performance in pervasive high growth markets. GF offers a unique mix of design, development, and fabrication services. With a talented and diverse workforce and an at-scale manufacturing footprint spanning the U.S., Europe and Asia, GF is a trusted technology source to its worldwide customers. For more information, visit www.gf.com. GlobalFoundries is an Equal Employment Opportunity/Affirmative Action (EEO/AA) employer Minorities/Female/Disabled/Veteran (M/F/D/V).#CB
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