Senior Generative AI Engineer

Ahdus technology; Heidelberg; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A tech innovator is seeking a talented Generative AI Engineer in Heidelberg to design, develop, and deploy cutting-edge generative models. The ideal candidate will possess strong machine learning skills, experience with CI/CD pipelines, and a basic understanding of frontend development to deliver production-ready AI solutions. Join a passionate team and enjoy a competitive compensation package as you work on intelligent chatbots and AI-driven applications.

Leistungen

Competitive compensation

Cutting edge of AI

Collaborative work environment

Qualifikationen

• 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.

Aufgaben

• Design, train, and fine‑tune generative models.
• Build scalable ML pipelines for training and inference.
• Collaborate with frontend developers for integration.

Kenntnisse

Machine Learning expertise

Generative models experience

Proficiency in Python

Basic frontend development knowledge

Ausbildung

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

Tools

PyTorch

TensorFlow

AWS

Docker

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.