<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About GF<br/><br/></strong>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.<br/><br/>For more information, visit www.gf.com.<br/><br/><strong>Introduction<br/><br/></strong>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.<br/><br/><strong>Responsibilities<br/><br/></strong><ul><li>Support the AI Integration Team in developing and deploying AI/ML models. </li><li>Work with highly complex data for feature development using AI/ML models. </li><li>Work closely with teams in Digital Manufacturing and other stakeholders to define project objectives, deliverables, and timelines. </li><li>Adapt to evolving technologies and learn new tools and techniques. Committed to stay updated with the State-of-the-Art advancements in AI/ML. <br/><br/></li></ul><strong>Required Qualifications<br/><br/></strong><ul><li>Bachelor's degree in engineering, Computer Science, or related quantitative field. </li><li>A minimum of 2 years of experience in ML engineering or Applied AI. </li><li>Proficiency in AI/ML techniques and frameworks (incl. PyTorch, Scikit-Learn, LangChain etc.), and model deployment strategies. </li><li>Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools for model performance and drift detection. </li><li>Practical experience with AWS services for ML deployment. </li><li>Deep understanding of data pipelines, and data quality principles. </li><li>Flexibility and ability to work with ambiguous problems and unstructured data. </li><li>Excellent communication and collaboration skills. </li><li>Ability to work independently and as part of a cross-functional international team. </li><li>Strong problem-solving and analytical skills with a passion for building high-quality solutions. <br/><br/></li></ul><strong>Preferred Qualifications<br/><br/></strong><ul><li>Master's degree in engineering, Computer Science, or related quantitative field. </li><li>Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions. </li><li>Ability to enforce data quality standards and maintain data dictionaries. </li><li>Experience with data governance frameworks and guidelines. </li><li>Exposure to semiconductor/manufacturing domain. <br/><br/></li></ul><strong>We Offer<br/><br/></strong>The position is open-ended and to be filled as soon as possible.<br/><br/><strong>Attractive Compensation Components<br/><br/></strong>13th month salary, bonus payments, assistance with relocation to Dresden.<br/><br/><strong>Flexible Working Time Arrangements<br/><br/></strong>Family friendly part-time models, trust flextime, salary conversion into free time<br/><br/><strong>Diverse Opportunities For Further Development<br/><br/></strong>Career stages for every job, internal qualification offers, promotion of external educational qualifications<br/><br/><strong>Focus On Your Health<br/><br/></strong>On-site gym and beach volleyball court, bike leasing, subsidized employee restaurant<br/><br/><strong>Corporate Culture<br/><br/></strong>Cooperation at eye level - everyone is on first name terms with us, budget for individual team events, social commitment via GlobalGives<br/><br/>You can find more benefits in detail at https://gf.com/de/careers/benefits/<br/><br/>The job advertisement refers to a position up to job level 6 on the GF career ladder.<br/><br/>This position is part of our employee referral program and will be rewarded with a referral bonus of €2,000 upon successful recruitment.<br/><br/>Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/ </div>