generative ai

vor 4 Wochen


Munich, Bayern, Deutschland EDAG Engineering GmbH Vollzeit


That's who we are: Working together, growing together, creating new things together: EDAG connects people and the future - here, companies and employees share the same vision. With us you can follow your own career path at a high level, nationally or internationally.



A high level of expertise and a passion for new challenges make our Electrics/Electronics division a pioneer in the automotive future. Take the next step and support our team.
GENERATIVE AI & MACHINE LEARNING DEVOPS ENGINEER

This is what you will grow from:

Assessment of the potential for implementing state-of-the-art generative AI techniques in the software digitization area

Monitor market trends to make strategic decisions regarding internal development or external sourcing

Deliver generative AI applications to improve or transform our business and IT processes

Working closely with various IT departments to seamlessly integrate these applications

Analyze and integrate data from various sources while selecting appropriate Generative AI models

Validate use case concepts through proof of concepts to ensure their feasibility

Leverage our IT hubs and external partners to scale and industrialize these applications



This will help us move forward:

• Completed studies in computer science, electrical engineering, mechatronics or a comparable qualification
• At least 3 years of professional experience in classic machine learning and generative AI
• Strong knowledge of programming languages ​​such as Python and C++ as well as experience with relevant libraries and frameworks (e.g. LangChain, TensorFlow, PyTorch)
• Hands-on experience with public cloud infrastructures (AWS and Azure), containerization and orchestration (e.g. Kubernetes and Docker), as well as automation tools (Terraform, GitHub Actions, etc.)
• Experience working with LLMs such as GPT4 and/ or LLaMA as well as in the creation of build and release pipelines for ML solutions
• Very good knowledge of German and English
  • Gender, age, nationality and religion are not relevant to us – what matters is you.


Benefits:



Further development

Hybrid working*

Ticket Plus card

health Management

Flexible working hours

Employer-funded pension

OTHER BENEFITS



Does that sound like your next challenge?
Then we look forward to receiving your application



CONTACT:

Nina Kummer



If you have any questions, please feel free to contact us by phone at any time. We would like to point out that the email channel is not encrypted. We therefore ask you not to send us any personal data by email.




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