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Machine Learning Engineer for Digital Manufacturing(m/w/x)
Deploying and maintaining AI/ML projects for semiconductor manufacturing, focusing on GenAI integration. Minimum 2 years of ML engineering experience required. Relocation assistance to Dresden, 13th month salary.
Requirements
- Bachelor's degree in engineering, Computer Science, or related quantitative field
- Minimum 2 years of ML engineering or Applied AI experience
- Proficiency in AI/ML techniques and frameworks (incl. PyTorch, Scikit-Learn, LangChain etc.)
- Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools
- Practical AWS ML deployment experience
- Deep understanding of data pipelines and quality principles
- Flexibility with ambiguous problems and unstructured data
- Excellent communication and collaboration skills
- Ability to work independently and in cross-functional teams
- Strong problem-solving and analytical skills
- Master's degree in engineering, Computer Science, or related quantitative field
- Extensive cloud platform experience (AWS, Azure, Google Cloud)
- Ability to enforce data quality standards and maintain dictionaries
- Experience with data governance frameworks and guidelines
- Exposure to semiconductor/manufacturing domain
Tasks
- Join the Digital Manufacturing Group
- Assist in AI/ML/GenAI technical requirements
- Establish best practices for analytics use cases
- Deploy and maintain AI/ML projects
- Support AI Integration Team in model development
- Work with complex data for feature development
- Collaborate with Digital Manufacturing teams
- Define project objectives and deliverables
- Adapt to new technologies and tools
- Stay updated with AI/ML advancements
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Scikit-Learn
- LangChain
- AWS
- Azure
- Google Cloud
Benefits
Bonuses & Incentives
- 13th month salary
- Bonus payments
- Referral bonus
Additional Allowances
- Relocation assistance to Dresden
Family Support
- Family friendly part-time models
Flexible Working
- Trust flextime
More Vacation Days
- Salary conversion into free time
Career Advancement
- Career stages
Learning & Development
- Internal qualification offers
- Promotion of external educational qualifications
Healthcare & Fitness
- On-site gym
Team Events
- On-site beach volleyball court
- Budget for individual team events
Company Bike
- Bike leasing
Free or Subsidized Food
- Subsidized employee restaurant
Informal Culture
- Cooperation at eye level
Social Impact
- Social commitment
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Machine Learning Engineer for Digital Manufacturing(m/w/x)
Deploying and maintaining AI/ML projects for semiconductor manufacturing, focusing on GenAI integration. Minimum 2 years of ML engineering experience required. Relocation assistance to Dresden, 13th month salary.
Requirements
- Bachelor's degree in engineering, Computer Science, or related quantitative field
- Minimum 2 years of ML engineering or Applied AI experience
- Proficiency in AI/ML techniques and frameworks (incl. PyTorch, Scikit-Learn, LangChain etc.)
- Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools
- Practical AWS ML deployment experience
- Deep understanding of data pipelines and quality principles
- Flexibility with ambiguous problems and unstructured data
- Excellent communication and collaboration skills
- Ability to work independently and in cross-functional teams
- Strong problem-solving and analytical skills
- Master's degree in engineering, Computer Science, or related quantitative field
- Extensive cloud platform experience (AWS, Azure, Google Cloud)
- Ability to enforce data quality standards and maintain dictionaries
- Experience with data governance frameworks and guidelines
- Exposure to semiconductor/manufacturing domain
Tasks
- Join the Digital Manufacturing Group
- Assist in AI/ML/GenAI technical requirements
- Establish best practices for analytics use cases
- Deploy and maintain AI/ML projects
- Support AI Integration Team in model development
- Work with complex data for feature development
- Collaborate with Digital Manufacturing teams
- Define project objectives and deliverables
- Adapt to new technologies and tools
- Stay updated with AI/ML advancements
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Scikit-Learn
- LangChain
- AWS
- Azure
- Google Cloud
Benefits
Bonuses & Incentives
- 13th month salary
- Bonus payments
- Referral bonus
Additional Allowances
- Relocation assistance to Dresden
Family Support
- Family friendly part-time models
Flexible Working
- Trust flextime
More Vacation Days
- Salary conversion into free time
Career Advancement
- Career stages
Learning & Development
- Internal qualification offers
- Promotion of external educational qualifications
Healthcare & Fitness
- On-site gym
Team Events
- On-site beach volleyball court
- Budget for individual team events
Company Bike
- Bike leasing
Free or Subsidized Food
- Subsidized employee restaurant
Informal Culture
- Cooperation at eye level
Social Impact
- Social commitment
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
GlobalFoundries® Inc. (GF®)
Industry
Manufacturing
Description
GlobalFoundries ist ein weltweit führender Halbleiterhersteller, der Innovationen in der Halbleiterfertigung vorantreibt und Prozesstechnologielösungen für Wachstumsmärkte entwickelt.
Not a perfect match?
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