Job Details

ML Engineer at Aviasales. Design and support data pipelines for ML platforms, develop and maintain offline ML model training and inference services, deploy models to production, and analyze model quality. Requires 3+ years of experience in Data Engineering/ML, SQL, Python, and containerization.

Design and support data pipelines necessary for the ML platform; develop and maintain offline (batch) services for training and inference of ML models; deploy models to production, ensure their stability and scalability, develop a monitoring system; analyze model quality; collaborate with different development and analytics teams for model integration into production.

Experience in Data Engineering/ML for at least 3 years; Proficient in SQL, Python. Understanding of Lakehouse concepts; Experience with building models (linear/tree models, ensembles) for various tasks (regression, classification, clustering, time series, etc.); Skills in working with containers (Docker, Kubernetes), CI/CD (Jenkins), monitoring (Prometheus, Grafana); Desire and ability to work in a team, share knowledge and experience.