Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dresden
- Working Model
- Onsite
Job Summary
In this role, you will develop AI/ML models for digital manufacturing processes. You will process complex data, implement best practices for project execution, and collaborate closely with international teams.
Job Technologies
Your role in the team
- As a 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.
- 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.
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Our expectations of you
Education
- Bachelor's degree in engineering, Computer Science, or related quantitative field.
- Master's degree in engineering, Computer Science, or related quantitative field.
Qualifications
- Proficiency in AI/ML techniques and frameworks (including PyTorch, Scikit-Learn, LangChain, etc.), and model deployment strategies.
- Vertrautheit mit MLOps, CI/CD-Pipelines für ML und Überwachungstools für Modellleistung und Drift-Erkennung.
- 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.
- Ability to enforce data quality standards and maintain data dictionaries.
- Exposure to semiconductor/manufacturing domain.
Experience
- A minimum of 2 years of experience in ML engineering or Applied AI.
- Practical experience with AWS services for ML deployment.
- Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions.
- Experience with data governance frameworks and guidelines.
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What we offer
- The position is open-ended and to be filled as soon as possible.
- 13th month salary, bonus payments, assistance with relocation to Dresden.
- Family-friendly part-time models, trust flextime, salary conversion into free time
- Karrierephasen für jeden Job, interne Qualifizierungsangebote, Förderung externer Bildungsabschlüsse.
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Benefits
More net
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Globalfoundries Management Services Limited Liability Company & Co. Kg
GLOBALFOUNDRIES ist ein US-amerikanischer Halbleiterproduzent. Das Unternehmen hat weltweit ca. 17.000 Mitarbeiter und über 250 Kunden. Neben dem Werk in Dresden gibt es noch drei Produktionsstandorte in den USA und einen in Singapur. Der Begriff “Foundry” bedeutet in der Halbleiterindustrie “Auftragsfertiger”. GLOBALFOUNDRIES produziert für Kunden, welche Mikrochips in ihre Endgeräte verbauen, jedoch über keine eigene Fertigung verfügen.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Machine Learning Engineer for Digital Manufacturing
- Location
- Dresden
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
