Machine Learning Engineer for Digital Manufacturing

## Machine Learning Engineer for Digital ManufacturingApplylocations: Dresdentime type: Full timeposted on: Posted Todayjob requisition id: JR-2601893**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/