Tasks: ▪️Designing and training models (time series, survival analysis, multimodal data); ▪️Developing a recommendation system (collaborative filtering, content-based, hybrid approaches with medical context); ▪️Deploying models to production: latency optimization, A/B tests, canary deployment; ▪️MLOps: training/retraining pipelines, data drift monitoring; ▪️Working with medical data in accordance with Federal Law 152.

What's important to us: ▪️Hard skills: Python, PyTorch/TF, Sklearn, CatBoost, LightGBM, time series, RecSys (ALS, BERT4Rec), MLflow/Kubeflow, Docker/K8s, FastAPI/gRPC, Kafka, Airflow, SQL/ClickHouse.

Conditions: ▪️Employment under the Labor Code from the first day (fixed-term employment contract for six months with further extension); employment under a civil contract/self-employment is possible; ▪️Remote work with a flexible start to the workday or hybrid/office (Ulyanovsk); ▪️Voluntary medical insurance for yourself or a relative + all necessary equipment for work; ▪️Opportunity to grow faster than the market: mentorship from colleagues during work, conferences, private meetups, and training at our expense; ▪️Balance of work and activities: offsite hackathons, informal gatherings, and hobby clubs; ▪️Corporate merchandise and gifts for important occasions.

I will be happy to answer your questions: @dariachubukova