GlobalFoundries

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 <a href="http://www.gf.com" rel="nofollow noopener" target="_blank">www.gf.com</a>.
Introduction
As an&nbsp;Machine Learning&nbsp;Engineer&nbsp;for Digital Manufacturing, you will be&nbsp;joining&nbsp;the&nbsp;Digital Manufacturing Group&nbsp;and perform a key role&nbsp;within the&nbsp;AI Integration&nbsp;team and&nbsp;assist&nbsp;in the&nbsp;AI/ML/GenAI solutions’ technical requirements.&nbsp;You will help&nbsp;establish&nbsp;best practices for&nbsp;analytics&nbsp;use&nbsp;case development, deployment, scaling, and maintenance of AI/ML projects.
Responsibilities
<ul>
<li>Support the AI Integration Team in&nbsp;developing and deploying AI/ML models.</li>
<li>Work with&nbsp;highly complex&nbsp;data for feature development using AI/ML models.</li>
<li>Work closely with teams in Digital Manufacturing and other stakeholders to define project&nbsp;objectives, deliverables, and timelines.</li>
<li>Adapt to evolving&nbsp;technologies and learn new tools and techniques. Committed to stay updated with the&nbsp;State-of-the-Art&nbsp;advancements in AI/ML.</li>
</ul>
Required Qualifications
<ul>
<li>Bachelor's degree in engineering, Computer Science, or related quantitative field.</li>
<li>A minimum of 2 years of experience&nbsp;in ML engineering or Applied AI.</li>
<li>Proficiency&nbsp;in&nbsp;AI/ML techniques&nbsp;and&nbsp;frameworks&nbsp;(incl.&nbsp;PyTorch, Scikit-Learn,&nbsp;LangChain&nbsp;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.</li>
</ul>
Preferred&nbsp;Qualifications
<ul>
<li>Master's degree&nbsp;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&nbsp;maintain&nbsp;data dictionaries.</li>
<li>Experience with data governance frameworks and guidelines.</li>
<li>Exposure to semiconductor/manufacturing domain.</li>
</ul>
We Offer
The position is open-ended and to be filled as soon as possible.
Attractive&nbsp;compensation components:
13th month salary, bonus payments, assistance with relocation to Dresden.
Flexible working time arrangements:
Family&nbsp;friendly part-time models, trust&nbsp;flextime, salary conversion into free time
Diverse opportunities for further development:
Career stages for every job, internal qualification offers, promotion of external educational qualifications&nbsp;&nbsp;
Focus on your health:
On-site gym and beach volleyball court, bike leasing, subsidized employee restaurant&nbsp;&nbsp;
Corporate culture:
Cooperation at eye level - everyone is on first name terms with us, budget for individual team events, social commitment via&nbsp;GlobalGives&nbsp;&nbsp;
You can find more benefits in detail at&nbsp;<a href="https://gf.com/de/careers/benefits/" rel="nofollow noopener" target="_blank">https://gf.com/de/careers/benefits/</a>
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: <a href="https://gf.com/careers/opportunities-in-europe/" rel="nofollow noopener" target="_blank">https://gf.com/careers/opportunities-in-europe/</a>

Machine Learning Engineer for Digital Manufacturing

Machine Learning Engineer for Digital Manufacturing

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