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.

Acquism SARL

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