ML system design from scratch with data analysis, annotation, and processing in several areas of research or in multimodal scenarios
Leads the process of data preparation and calculations with master systems on all stages
Translate business level metrics to an engineering/science problem
Take ownership of the end to end DS product lifecycle, including ML model pipelines, implementation, A/B testing, and rollout
Develop innovative services designed to enhance the efficiency and precision of map issue resolution, and expand comprehensive coverage
Work with Geo domain on different topics, e.g.
- Search and relevance optimization for geocoding and place search, including personalization, user context and multilingual support
- ETA and route accuracy optimization
- Working with Engineering on Geo data curation, including data ingestion and pipelines, anomaly detection, deduplication and improving data reliability
- Location prediction and management
- Geospatial analysis and insights

Qualifications

Bachelor’s degree in Statistics, Mathematics, Computer Science, Machine Learning, or Operations Research
5+ years of industry experience as an ML Engineer, Applied or Data Scientist or equivalent
Proficient in MLOps instruments to organize ML model lifecycle
Has common knowledge of technologies from Company Tech Radar (e.g. Golang) to integrate with existing backend systems and infrastructure
Has experience in event systems, deployment environments etc. to be able to maintain DS powered services in production
Proficient Python and in Python frameworks for streaming, batch and async data processing
Proficient (or at least familiarity/experience) in Geo and Maps ML domain
Subject-matter expert in more than one ML domains besides Geo (e.g. CV, NLP etc.)

Conditions & Benefits

Stable salary, official employment
Health insurance
Hybrid work mode and flexible schedule
Relocation package offered for candidates from other regions (only for Kazakhstan and Cyprus)
Access to professional counseling services including psychological, financial, and legal support
Discount club membership
Diverse internal training programs
Partially or fully paid additional training courses
All necessary work equipment