Generative AI Engineer

Ahdus Technology; Deutschland; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology firm in Germany is seeking a Generative AI Engineer to design and deploy cutting-edge generative models for AI-driven applications. The ideal candidate has proficiencies in machine learning frameworks, Python, and CI/CD tools, along with basic frontend development skills. Join a passionate team shaping the future of generative tech with competitive compensation.

Leistungen

Competitive compensation

Cutting edge of AI and product innovation

Collaborative team environment

Qualifikationen

• Strong proficiency with ML/DL frameworks like PyTorch or TensorFlow.
• Proven experience with generative models (e.g., transformers, GANs, VAEs).
• Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins, Docker).

Aufgaben

• Design, train, and fine-tune generative models (e.g., GPT, DALL•E, Stable Diffusion).
• Build scalable ML pipelines for training and inference.
• Collaborate with frontend developers for smooth AI integration.

Kenntnisse

Machine Learning

Deep Learning

Python

CI/CD tools

Frontend development

Ausbildung

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

Tools

PyTorch

TensorFlow

Docker

GitHub Actions

Jobbeschreibung

About the job Generative AI Engineer

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.