Responsibilities 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. Requirements At least 4 years as a Data Scientist; Experience managing end-to-end ML projects in production (from setup to support); Experience with DL (PyTorch/TensorFlow): understanding of fine-tuning principles, model inference; Python (production quality): readable code, tests for critical components, understanding of model/artifact packaging and integration into the service; Understanding of ML monitoring: quality metrics, drift, alerts, diagnostics and support regulations; SQL at the level of independent dataset assembly (joins, window functions); Experience with model interpretability and error analysis; MLflow / W&B / DVC or similar experiment tracking tools; ML stack - classic machine learning algorithms / understanding of basic ranking approaches (pointwise, pairwise) and their practical application / experience with time series would be a plus; Conversational English. Benefits A fully flexible work schedule — there's no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward; Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office or choose a hybrid work model; We are an ambitious and supportive team who love what they do, appreciate each other and grow together; The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored to each employee; We also provide partial compensation for employees participating in external training and conferences; In tourism, it's difficult to grow without excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world; And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services; We prioritize well‑being and are committed to supporting the overall health and work‑life balance at ETG. As part of this commitment, we provide MyTime Day Off — an extra day off designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues or any other important activities. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice J-18808-Ljbffr