The vacancy is well-structured with clear responsibilities and compensation, but lacks some company details.
Job description
Selecty is looking for a MlOps / Python Backend Engineer (ML) to productize ML models and pipelines, integrate models into backend systems, and develop APIs for ML solutions.
Responsibilities
• Productization and implementation of ML models in production
• Refactoring code from Data Science teams to production standards
• Development of backend services and REST APIs for ML solutions
• Integration of services via Kafka and microservices architecture
• Participation in building and developing ML pipelines
• Interaction with Data Scientists, MLOps, and analysts
• Participation in architectural decisions and R&D tasks
Requirements
• 3-4 years of experience in Python development
• Higher education (completed)
• Experience with ML projects (CV, NLP, RAG)
• Experience in developing REST APIs (FastAPI / Flask)
• Experience with Kafka
• Understanding of microservices architecture and network interaction
• Basic understanding of Kubernetes
• Intermediate level SQL skills
• Ability to work with Data Science code and adapt it for production
Conditions
• Health insurance with dental coverage
• Fitness compensation
• Discounts for English courses (Skyeng) and cinema
• Salary indexing
• Modern equipment for work
• IT accreditation
About Selecty
Selecty is a Russian IT recruitment and outsourcing agency that provides teams of IT specialists and managers to support digital transformation projects for large enterprises. The company focuses on delivering end‑to‑end IT outsourcing and staffing solutions, serving over 300 companies from the RBC Top‑500 list.