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Generative AI Engineer

icon building Unternehmen : Ahdus Technology
icon briefcase Auftragstyp : Vollzeit
icon remote-alt Remote / Arbeiten von zu Hause aus

Arbeitsbeschreibung - Generative AI Engineer

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, DALL·E, 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:

  • Bachelor’s or master's 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 You’ll 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.

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