Germany
Solaris
Ahdus technology
Generative AI Engineer
Germany
Heidelberg, Baden-Württemberg, Germany
JavaScriptPythonReactAWSGCPDockerKubernetes
Job Summary
Job Description: Generative AI Engineer
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.
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.
Job Type: Depend, either Onsite in Heidelberg, or Hybrid or Remote.
Note: The Job description is subject to change according to organizational needs.
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.
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.
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