Generative AI Engineer

Ahdus technology; Heidelberg; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A cutting-edge technology company in Heidelberg is seeking a Generative AI Engineer to design and deploy innovative AI-driven applications. The role requires a solid background in machine learning, experience with generative models, and a good grasp of CI/CD practices. Join a passionate team and work on cutting-edge projects that shape the future of generative tech, complete with competitive compensation.

Leistungen

Competitive compensation

Be at the cutting edge of AI and product innovation

Collaborate with a passionate team

Qualifikationen

• Strong proficiency with ML/DL frameworks like PyTorch or TensorFlow.
• Proven experience with generative models such as transformers, GANs, VAEs.
• Programming skills in Python and familiarity with deployment on cloud platforms.

Aufgaben

• Design, train, and fine-tune generative models like GPT and DALL·E.
• Build scalable ML pipelines including CI/CD workflows.
• Develop RESTful APIs to serve models in production.

Kenntnisse

Machine Learning

Generative models

CI/CD

Python

Frontend development

Ausbildung

Bachelor’s or master's in computer science, AI, Machine Learning, or related field

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Docker

Kubernetes

Jobbeschreibung

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.