Python (ML/LLM) Engineer

We are looking for a Python Engineer with experience in Machine Learning and Large Language Models to join a short-term project focused on building an intelligent data matching solution.

The project involves developing a reusable tool that automatically matches parent and child records between Excel/CSV datasets using a combination of rule-based logic, semantic search, and AI-assisted approaches. The solution should be configurable, scalable, and capable of handling new datasets without changes to the core business logic.

Project details:
Engagement: Full-time for approximately 2 weeks, followed by several iterations of improvements based on client feedback (with a possibility to continue in the next project phase).
Start date: ASAP.

Responsibilities:

• Develop a reusable Python-based tool for parent-child matching between Excel/CSV datasets.
• Design configurable data processing pipelines that can be executed locally on the client's environment.
• Implement text, code, numeric value, unit, and attribute normalization.
• Build candidate retrieval using exact matching, fuzzy matching, and multilingual semantic search.
• Develop confidence scoring and validation logic to avoid incorrect matches based solely on textual similarity.
• Generate structured output (CSV/XLSX) including match confidence, status, and explanation.
• Participate in several improvement iterations based on results from previously unseen client datasets.

• Communicate with the client regarding edge cases and continuously improve the matching quality.

   

  Requirements:

• Strong commercial experience with Python.
• Experience building Machine Learning or NLP solutions.
• Hands-on experience working with LLMs.
• Experience with semantic search, embeddings, or retrieval systems.
• Familiarity with fuzzy matching techniques and text preprocessing.
• Experience working with structured datasets (CSV, Excel, pandas).
• Ability to design configurable, reusable software rather than one-off scripts.
• Strong analytical and problem-solving skills.
• Good English level for communication.
  
  Nice to have:
• Experience with multilingual NLP.
• Knowledge of vector databases or embedding-based retrieval.
• Experience integrating AI services as fallback mechanisms.
• Experience designing configurable CLI/data-processing tools.
  
  What we offer:
• Short-term, high-impact AI/ML project with the possibility of extension.
• Flexible remote collaboration.
• Opportunity to work on an interesting real-world data matching problem combining ML, LLMs, and traditional search techniques.
• Direct communication with the client and the ability to influence the final solution.
• Competitive hourly compensation based on your experience.