GlobalFoundries Management Services GmbH & Co. KG: Machine Learning Engineer for Digital Manufacturing

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 hier .

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 indeveloping 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:

Familyfriendly part-time models, trustflextime, 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 viaGlobalGives

You can find more benefits in detail at hier

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: hier