Role: AI Lead
Location: Zurich, Switzerland
Work model: 3 days onsite WFO required
Start date: ASAP
Rate: Negotiable
End date: Up to 12 months project (3–6 month rolling extensions)
Language: English speaking fine
Key Responsibilities:
- Design and implement scalable LLM-based systems, including Retrieval-Augmented Generation (RAG) and AI agentic architectures.
- Fine-tune and optimize Large Language Models (LLMs) for domain-specific applications.
- Build and maintain MLOps pipelines using MLFlow for experiment tracking, model versioning, and automated deployments.
- Leverage Azure Cloud Services (including Azure DevOps, GraphAPI, and authentication mechanisms) to deploy and manage AI solutions.
- Collaborate with cross-functional teams including data engineers, product managers, and DevOps to deliver AI-powered products.
- Apply object-oriented and functional programming paradigms to build clean, maintainable, and performant code.
- Ensure compliance with security, scalability, and performance standards throughout the AI lifecycle.
Required Skills & Qualifications:
- 7+ years of relevant experience in software engineering, AI/ML development, or a related field.
- Strong foundational IT knowledge, especially in object-oriented and functional programming.
- Strong proficiency in Python.
- Proven experience working with GenAI frameworks, LLMs, and RAG architectures.
- Hands-on expertise in LLM fine-tuning, transfer learning, and narrow model development.
- Deep understanding of MLOps best practices with hands-on experience using MLFlow.
- Proficiency with Microsoft Azure, including Azure DevOps, Graph API, and authentication mechanisms.
If you are interested, or you know someone that could be, please reach out and we can arrange a time to speak?
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- Posted
- May 29, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Zurich
- Company
- Digisourced.
Industries
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