The Hotel Search Team develops core components that are critical for the company’s business: hotel ranking in search results, search suggestions, and improving conversion to hotel page visits.
Manage end-to-end ML projects: problem definition → solution → testing → production → support.
Work with data engineers to build datasets and define data requirements, assess feasibility, risks, and limitations.
Work with data analysts to design and analyze A/B tests: metrics, splits, result interpretation, and rollout recommendations.
Develop and train models (classical ML + DL).
Deploy models and code to production (Python services), support releases and integrations.
Be responsible for post-launch model quality: metrics, monitoring, drift/degradation tracking, improvement plans, and support processes.
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 individually to each employee; We also provide partial compensation for employees participating in external training and conferences; In tourism, it's difficult to grow without an 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 that is 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 Experience managing end-to-end ML projects in production (from problem definition to support).
Strong understanding of classical ML: feature engineering, boosting algorithms, classification/regression, cross-validation, threshold tuning, and calibration.
Experience working with search or recommendation systems.
Experience with DL (PyTorch/TensorFlow): understanding of fine-tuning principles and model inference.
Python (production-grade): readable code, tests for critical components, understanding of model/artifact packaging and service integration.
Understanding of ML monitoring: quality metrics, drift, alerts, diagnostics, and support processes.
SQL proficiency sufficient for independent dataset building (joins, window functions).
Experience with model interpretability and error analysis.
MLflow / W&B / DVC or similar experiment tracking tools.
Orchestration/pipelines (Airflow/Prefect/Dagster) and advanced data processing.
Conversational English.
Nice to have: Experience with neural networks in the context of vector search, ranking, NLP, or CV; Experience working with Big Data technologies: Hadoop, Spark.
