Senior Generative AI Engineer

Ahdus technology; Heidelberg; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Ahdus technology is seeking a Generative AI Engineer to develop cutting-edge generative models that drive innovative applications. The role requires expertise in machine learning, a strong command of Python, and familiarity with CI/CD processes. Join a team passionate about AI and product innovation, where you will work on exciting projects that leverage state-of-the-art technology.

Leistungen

Competitive compensation

Opportunity to work on cutting-edge AI projects

Qualifikationen

• Experience with CI/CD tools like GitHub Actions, Jenkins.
• Strong programming skills in Python and experience deploying models.
• Proven ability with generative models such as GANs or transformers.

Aufgaben

• Design, train, and fine-tune generative models.
• Build ML pipelines including CI/CD workflows.
• Collaborate with frontend developers for AI integration.

Kenntnisse

Machine Learning

Deep Learning

Python

Generative Models

AI Ethics

Ausbildung

Bachelor’s or Master’s in Computer Science, AI, 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).

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.