11 beste Stellen als deep learning in dresden – aktuell auf Personalsuche

Machine Learning Engineer for Digital Manufacturing
GLOBALFOUNDRIES —Dresden
- Vollzeit
- Azure
- Informatik
- Master
- Gleitzeit
- Empfehlungsprogramm
AI Engineer (m/f/d)
KLA —Dresden
- Vollzeit
- Informatik
- Master
- C++
- Flexible Arbeitszeiten
Gruppenleitung Neuromorphic Systems (all genders)
Photonische Mikrosysteme —Dresden
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Englisch
- Master
- Flexible Arbeitszeiten
Senior AI/ML Audio Engineer (f/m/d)
NXP Semiconductors —Dresden
- Vollzeit
- Doktorat
- Master
- C++
Junior Technical Services and SAP Module Expert (f/d/m)
SAP Fioneer —Dresden
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Direkt bewerben
Working Student (gn) Robotics Test Automation & Hardware Integration
Wandelbots GmbH —Dresden
- Teilzeit
- Java
- Master
- C++
- Kostenlose Verpflegung
Direkt bewerben
1 Tag
Simulation & Robotics Engineer (gn) Gaussian Splatting, Cloud & NVIDIA Isaac Sim
Wandelbots GmbH —Dresden
- Vollzeit
- C++
- Künstliche Intelligenz
- Python
- Kostenlose Verpflegung
Direkt bewerben
2 Tage
SAP SuccessFactors Module Expert (all genders)
Accenture —Dresden
- Vollzeit
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Staff Backend Engineer (gn) with Cloud Know-How
Wandelbots GmbH —Dresden
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- APIs
- Kostenlose Verpflegung
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Duales Studium Informationstechnik (Abschluss Bachelor of Engineering (m/w/d))
Cloud&Heat Technologies GmbH —Dresden
- Vollzeit
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- Machine Learning
Direkt bewerben
SAP HCM for S/4HANA Expert (all genders)
Accenture —Dresden
- Vollzeit
- Führungserfahrung

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Machine Learning Engineer for Digital Manufacturing

GLOBALFOUNDRIES -
Dresden

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenfahrrad-Leasing
Gleitzeit
Firmenevents
Empfehlungsprogramm

Qualifikationen

CI/CD
Azure
Informatik
Google Cloud Platform
Master
AWS
Bachelor
Machine Learning
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

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 www.gf.com.

Introduction

As an Machine Learning Engineer for Digital Manufacturing , you will be joining the Digital Manufacturing Group and perform a key role within the AI Integrat ion te am and assist in the AI / ML/GenAI solutions’ technical requirements. Y ou will h elp establish best practices f or analytics use case development, deployment, scaling, and maintenance of AI/ML projects.

Responsibilities

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.

Required Qualifications

Bachelor's degree in engineering, Computer Science, or related quantitative field.
A minimum of 2 years of experience in ML engineering or Applied AI.
Proficiency in AI/ML techniques and frameworks (incl. PyTorch , Scikit-Learn , LangChain etc . ) , and model deployment strategies.
Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools for model performance and drift detection.
Practical experience with AWS services for ML deployment.
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.

Preferred Qualifications

Master's d egree in engineering, Computer Science, or related quantitative field .
Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions .
Ability to enforce data quality standards and maintain data dictionaries.
Experience with data governance frameworks and guidelines .
Exposure to semiconductor/manufacturing domain.

We Offer

The position is open-ended and to be filled as soon as possible.

Attractive compensation components:

13th month salary, bonus payments, assistance with relocation to Dresden.

Flexible working time arrangements:

Family friendly part-time models, trust flextime, salary conversion into free time

Diverse opportunities for further development:

Career stages for every job, internal qualification offers, promotion of external educational qualifications

Focus on your health:

On-site gym and beach volleyball court, bike leasing, subsidized employee restaurant

Corporate culture:

Cooperation at eye level - everyone is on first name terms with us, budget for individual team events, social commitment via GlobalGives

You can find more benefits in detail at https://gf.com/de/careers/benefits/

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: https://gf.com/careers/opportunities-in-europe/

Jetzt bewerben

Erweiterte Suche

deep learning Jobs in dresden

Machine Learning Engineer for Digital Manufacturing

AI Engineer (m/f/d)

Gruppenleitung Neuromorphic Systems (all genders)

Senior AI/ML Audio Engineer (f/m/d)

Junior Technical Services and SAP Module Expert (f/d/m)

Working Student (gn) Robotics Test Automation & Hardware Integration

Simulation & Robotics Engineer (gn) Gaussian Splatting, Cloud & NVIDIA Isaac Sim

SAP SuccessFactors Module Expert (all genders)

Staff Backend Engineer (gn) with Cloud Know-How

Duales Studium Informationstechnik (Abschluss Bachelor of Engineering (m/w/d))

SAP HCM for S/4HANA Expert (all genders)

More jobs to discover

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