Machine Learning Engineer for Digital Manufacturing

About GF
GlobalFoundries Inc. (GF) is one of the worlds 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 13000 people including more than 3000 in Dresden Germany.

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Introduction

As anMachine LearningEngineerfor Digital Manufacturing you will bejoiningtheDigital Manufacturing Groupand perform a key rolewithin theAI Integrationteam andassistin theAI/ML/GenAI solutions technical requirements.You will helpestablishbest practices foranalyticsusecase development deployment scaling and maintenance of AI/ML projects.

Responsibilities

• Support the AI Integration Team indeveloping and deploying AI/ML models.

• Work withhighly complexdata for feature development using AI/ML models.

• Work closely with teams in Digital Manufacturing and other stakeholders to define projectobjectives deliverables and timelines.

• Adapt to evolvingtechnologies and learn new tools and techniques. Committed to stay updated with theState-of-the-Artadvancements in AI/ML.

Required Qualifications

• Bachelors degree in engineering Computer Science or related quantitative field.

• A minimum of 2 years of experiencein ML engineering or Applied AI.

• ProficiencyinAI/ML techniquesandframeworks(incl.PyTorch Scikit-LearnLangChainetc.) 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.

PreferredQualifications

• Masters degreein 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 andmaintaindata 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.

Attractivecompensation 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 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 2000 upon successful recruitment.

Information about our benefits you can find here: Experience:

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