drjobs Senior Generative AI Engineer

Senior Generative AI Engineer

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1 Vacancy
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Job Location drjobs

Heidelberg - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description: Generative AI Engineer

Job Type: Depend either Onsite in Heidelberg or Hybrid or Remote.

Job Summary:

We are seeking a talented Generative AI Engineer to design develop and deploy state-of-the-art generative models (e.g. transformers diffusion models GANs) that power innovative AI-driven applications. The ideal candidate combines strong machine learning expertise with hands-on experience in CI/CD pipelines and a basic understanding of front-end development to help deliver end-to-end production-ready AI solutions.

Key Responsibilities:

  • Design train and fine-tune generative models (e.g. GPT DALLE Stable Diffusion).
  • Build scalable ML pipelines for training and inference including CI/CD workflows.
  • Collaborate with frontend developers to ensure smooth integration of AI into user-facing products.
  • Develop RESTful APIs or services to serve models in production environments.
  • Conduct experiments evaluate model performance and iterate based on results.
  • Monitor troubleshoot and continuously improve deployed AI systems.
  • Stay current with research trends in generative models and foundation models.
  • Promote responsible and ethical AI practices in content generation and deployment.

Requirements:

Must-Have:

  • Bachelors or masters in computer science AI Machine Learning or related field.
  • Strong proficiency with ML/DL frameworks like PyTorch or TensorFlow.
  • Proven experience with generative models (e.g. transformers GANs VAEs).
  • Programming skills in Python and familiarity with deployment on AWS/GCP/Azure.
  • Experience with CI/CD tools and practices (e.g. GitHub Actions Jenkins Docker).
  • Basic frontend development knowledge (HTML CSS JavaScript React or similar).

Nice-to-Have:

  • Experience in NLP vision or foundation models.
  • Experience in containerization and orchestration tools (e.g. Docker Kubernetes).
  • Understanding MLOps and model monitoring tools.
  • Experience fine-tuning large language models (LLMs) and prompt engineering.

What Youll Work On:

  • Intelligent chatbots AI writing tools creative media generation or internal copilots.
  • Bridging AI models with usable frontend tools or dashboards.
  • Automating and streamlining model training testing and deployment.

Why Join Us

  • Be at the cutting edge of AI and product innovation.
  • Collaborate with a team passionate about shaping the future of generative tech.
  • Competitive compensation.

Note: The Job description is subject to change according to organizational needs.

Employment Type

Full Time

Company Industry

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