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.