Job Title: Senior Generative AI Engineer

Job Description: Generative AI Engineer

Job Type: Depend, either onsite in Heidelberg, or Hybrid or Remote.

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.

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).

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.

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.

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

#J-18808-Ljbffr

Ahdus technology