Emerging Travel Group

Machine Learning Engineer

• Support for clusters (*GPU*/*TPU*), containerization, and orchestration (*Docker*, *Kubernetes*);
• Audit and optimization of infrastructure and costs (batch vs. real-time inference, distinguishing hardware versus code issues);
• Setting up monitoring, alerting, and managing hardware resources between users;
• Deployment and support of *ML* services (*MLflow*, *Airflow*, *CVAT*, *Doccano*) in production;
• Configuring CI/CD for *ML* pipelines and managing the complete *ML* lifecycle (training -> serving).

Senior MLOps

Data Scientist

• Lead end-to-end ML projects: task setting -> solution -> testing -> production -> support;
• Work with data engineers to create datasets and data requirements, assess feasibility, risks, and limitations;
• Participate in the design and analysis of A/B tests together with data analysts: metrics, splits, interpretation of results, recommendations for rolling out solutions;
• Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis;
• Transfer the model and code to production (Python service), support releases and integrations;
• Be responsible for model quality after launch: metrics, monitoring, drift/degradation, improvement plan, and support regulations

Senior MLOps

Senior Data Scientist