Senior ML/NLP Engineer
- Time to fillFrom the first call to the signed offer
- 5 weeks
- Level
- Senior
- Area
- ML & NLP
- Candidates reviewed
- 3
About the client
Ringostat runs an AI platform for business telephony and marketing analytics. To grow Conversation Intelligence, they wanted a senior engineer who could turn calls into summaries, sentiment and next steps: five years or more in ML and NLP, real LLM work in production, solid Python and good working English.
How we searched
We mapped the market, reached out to engineers who had shipped LLM features, and tested every candidate on Python, PyTorch and Hugging Face before the team saw a profile. Ringostat had three screened candidates to compare within days of the start.
The result
The role was filled in 5 weeks from a shortlist of 3. By his second month the new engineer had released automated call summaries as part of a Conversation Intelligence update.
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