Applied ML / Data Engineer

RounDC is a service for automated investor matching for startups:

we take data from Telegram/WhatsApp, enrich it using LLM, and build smart matching of startups and funds/angels on top of our own CRM.

We are looking for an Applied ML / Data Engineer who will take charge of developing the core of the matching engine and the data pipeline.

Tasks:

• Design and develop a startup and investor matching service based on embeddings, rules, and tools like Splink.
• Configure entity resolution / deduplication for people and company databases in the CRM.
• Integrate ML logic with the current stack (Python, LLM API, CRM, and later - Elasticsearch).
• Introduce quality metrics (precision/recall, hit-rate, etc.), improve matching quality based on user feedback.

Requirements:

• Strong Python, preferably experience with production code for data/ML tasks.
• Practical experience with text embeddings and vector search.
• Experience in entity matching / deduplication (fuzzy matching, record linkage; Splink or similar is a plus).
• Confident SQL and experience working with application databases (CRM, OLTP schemas).
• Understanding how to bring ML solutions to production: API services, queues/streaming, logging, monitoring.

Will be a plus:

• Experience with Elasticsearch or another search engine.
• Experience integrating with messengers or high-load data ingestion.
• Experience in recommendation systems or product data science.