Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- Scikit-Learn
- LangChain
- AWS
- Azure
- Google Cloud
Benefits
Boni & Prämien
- 13th month salary
- Bonus payments
- Referral bonus
Sonstige Zulagen
- Relocation assistance to Dresden
Familienfreundlichkeit
- Family friendly part-time models
Flexibles Arbeiten
- Trust flextime
Mehr Urlaubstage
- Salary conversion into free time
Karriere- und Weiterentwicklung
- Career stages
Weiterbildungsangebote
- Internal qualification offers
- Promotion of external educational qualifications
Gesundheits- & Fitnessangebote
- On-site gym
Team Events & Ausflüge
- On-site beach volleyball court
- Budget for individual team events
Firmenfahrrad
- Bike leasing
Gratis oder Vergünstigte Mahlzeiten
- Subsidized employee restaurant
Lockere Unternehmenskultur
- Cooperation at eye level
Gemeinnützige Ausrichtung
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- Scikit-Learn
- LangChain
- AWS
- Azure
- Google Cloud
Benefits
Boni & Prämien
- 13th month salary
- Bonus payments
- Referral bonus
Sonstige Zulagen
- Relocation assistance to Dresden
Familienfreundlichkeit
- Family friendly part-time models
Flexibles Arbeiten
- Trust flextime
Mehr Urlaubstage
- Salary conversion into free time
Karriere- und Weiterentwicklung
- Career stages
Weiterbildungsangebote
- Internal qualification offers
- Promotion of external educational qualifications
Gesundheits- & Fitnessangebote
- On-site gym
Team Events & Ausflüge
- On-site beach volleyball court
- Budget for individual team events
Firmenfahrrad
- Bike leasing
Gratis oder Vergünstigte Mahlzeiten
- Subsidized employee restaurant
Lockere Unternehmenskultur
- Cooperation at eye level
Gemeinnützige Ausrichtung
- Social commitment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
GlobalFoundries® Inc. (GF®)
Branche
Manufacturing
Beschreibung
GlobalFoundries ist ein weltweit führender Halbleiterhersteller, der Innovationen in der Halbleiterfertigung vorantreibt und Prozesstechnologielösungen für Wachstumsmärkte entwickelt.
Noch nicht perfekt?
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