AI Architect (ML, Finetuning, DevOps)

AI Architect (ML, Finetuning, DevOps)

Location: Hamburg, Germany (Hybrid or On-site)
Contract Type: 3-Month Contract (with potential extension)
Start Date: ASAP

About the Role

A forward-thinking technology company in Hamburg is seeking an experienced AI Architect to lead the design and deployment of advanced machine learning systems. This 3-month contract role focuses on model architecture, fine-tuning, and production-level DevOps integration for AI-driven products and platforms.

Key Responsibilities

• Design and implement end-to-end AI architectures, from data ingestion and model development to deployment.

• Lead the fine-tuning and optimization of LLMs and other ML models for production environments.

• Collaborate with engineering teams to integrate AI models into cloud-based microservice architectures.

• Develop and maintain MLOps pipelines using modern DevOps tools and best practices.

• Ensure model governance, scalability, and observability throughout the lifecycle.

• Stay current with emerging AI technologies, frameworks, and research, advising on best-fit solutions.

Required Skills & Experience

• 5+ years of professional experience in AI/ML architecture or similar roles.

• Strong hands-on experience with machine learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers).

• Proven experience with model fine-tuning and deployment of LLMs or deep learning systems.

• Proficiency in Python and familiarity with API integration and microservices.

• Solid understanding of DevOps/MLOps practices, including CI/CD, Docker, Kubernetes, and cloud-based pipelines.

• Experience with at least one major cloud provider (AWS, Azure, or Google Cloud).

• Strong understanding of data pipelines, model monitoring, and scalability principles.

• Excellent communication and technical leadership skills.

• Fluent in English (German a plus).

Nice to Have

• Experience implementing vector databases, retrieval-augmented generation (RAG), or AI agent frameworks.

• Familiarity with security and compliance in AI model deployment.

• Background in financial services, healthcare, or other regulated industries.

• Contribution to open-source AI projects or AI research publications.

What They Offer

• A competitive day rate, based on experience and skill set.

• The opportunity to shape and deliver cutting-edge AI infrastructure.

• A collaborative, high-performing engineering team environment.

• Flexible working arrangements — hybrid or on-site in Hamburg.