Senior ML engineer
Client Description
A leading marketplace in the CIS region, offering a wide range of products with one-day delivery across the country.
Client Description
A leading marketplace in the CIS region, offering a wide range of products with one-day delivery across the country.
Task
Due to significant project scaling, there was an urgent need to expand the team quickly, requiring the involvement of external providers.
Due to significant project scaling, there was an urgent need to expand the team quickly, requiring the involvement of external providers.
Key requirements
- Experience deploying machine learning models to production.
- Expertise in working with AirFlow for workflow automation.
- Strong knowledge of Python and Data Science libraries.
- 3+ years of experience as an ML Engineer.
Process
After the briefing, we decided to create a targeted search map. We focused on large product companies with strong ML teams. Our strategy included daily, methodical sourcing, proactive communication with potential candidates, and regular meetings with the team to adjust the search and review results.
After the briefing, we decided to create a targeted search map. We focused on large product companies with strong ML teams. Our strategy included daily, methodical sourcing, proactive communication with potential candidates, and regular meetings with the team to adjust the search and review results.
Result
We successfully found a unique specialist for a promising new direction. The candidate will help develop the team within the project and expand it further, leveraging their tech leadership and strategic vision.
We successfully found a unique specialist for a promising new direction. The candidate will help develop the team within the project and expand it further, leveraging their tech leadership and strategic vision.
Vacancy closing period: 22 days
Conversion from candidates to accepted offer: 15%
Candidates found and screened: 24