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.
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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 Integrat ion te am and assist in the AI / ML/GenAI solutions’ technical requirements. Y ou will h elp establish best practices f or 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 d egree 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

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: