ML/LLM Engineer

Our client is a large international investment fund. Its focus is on using data and technology to find intelligent ways to improve financial strategies.
Our client is a large international investment fund. They use data and technology to find intelligent ways to improve financial strategies. 

The company is very data-driven and innovative, and its teams work closely together to develop financial strategies and maintain a strong global platform. This is a fast-paced environment where your technical expertise can make a real difference.

What we offer:

• Attractive compensation level commensurate with your contribution to the company

• Remote working with flexible hours, allowing you to find a balance between your professional and personal life

• Join a team of professionals where there is an atmosphere of collaboration and knowledge sharing

• Working with advanced tools and technologies

• At our company, data is more than just numbers. We make decisions based on analysis and strive for continuous process improvement

• Opportunity to work with international teams and clients
  
  

 Key Objectives:    

• Design, train, and deploy ML and LLM models using modern frameworks.

• Implement scalable data pipelines and model monitoring systems.

• Collaborate on prompt engineering, token optimization, and semantic search.

• Ensure model fairness, transparency, and compliance with AI safety standards.

• Contribute to technical documentation and internal knowledge sharing.

  What we expect:

• Minimum 5 years of experience in ML/AI engineering. 

• Hands-on experience with Palantir Foundry and/or AIP.

• Experience with CI/CD, testing, and monitoring best practices.

• Familiarity with Agile delivery and cross-functional collaboration.

•  Fluent in English (CEFR C1 or higher).

Strong proficiency in:

• Python, PyTorch, TensorFlow

• LangChain, LangGraph, HuggingFace Transformers

• OpenAI, Anthropic Claude, VertexAI

• Vector databases (e.g., ChromaDB, MilvusDB, PGVector)

• MLOps tools (e.g., Prefect, Flyte, Kubernetes)

• NLP and Computer Vision techniques

• Cloud platforms (AWS, Azure)