Location: Zurich, Switzerland (Hybrid)
Contract: 12-months
Start Date: ASAP
Experience: 4+ years
Rate: TBN
Role Overview
The position focuses on designing and optimizing machine learning models, fine-tuning large language models, and developing complex prompts. The role also involves experimenting with innovative AI techniques, researching advancements in AI, collaborating with cross-functional teams, and ensuring the scalability and ethical deployment of AI solutions.
Key Responsibilities
- Brainstorm and architect appropriate LLM prompts, Agents, and ML models to solve technical and impactful problems.
- Collaborate with stakeholders to understand proposed use cases and translate them into scalable technical specifications for machine learning projects.
- Analyze and prepare data for modeling, including developing and validating proofs of concept (PoCs).
- Design and implement machine learning models, iteratively refining them to meet production-level performance standards.
- Build robust, automated data pipelines to ingest and process structured and unstructured data from various sources.
- Document implemented machine learning models and data pipelines to ensure clarity and long-term maintainability.
Ideal Background
- 4+ years of experience in a similar role.
- Highly independent professional able to drive projects with minimal supervision.
- Proven experience managing Junior engineers (task planning, supervision) and working effectively in teams.
- Demonstrated professional track record in data analysis, data cleaning, advanced LLM prompting, NLP, and model development.
- Proven experience with Agentic AI workflows (e.g., Google ADK).
- Extensive experience with software development in Python.
- Experience with SQL, and commonly used Python libraries such as Pandas and TensorFlow.
- Fluency in English.
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