machine learning engineer for travel management
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* Design, develop, and deploy ML-powered data products that enhance the company’s value proposition and drive business impact
* Collaborate with Data Analysts to translate business needs and KPIs into modeling approaches
* Collaborate with Data Engineers to ensure robust data pipelines, feature availability, and production-ready systems
* Own the full lifecycle of ML models, from problem framing and experimentation to deployment, monitoring, and continuous improvement
* Ensure that models deliver measurable value over time
* Contribute to defining best practices for ML development, including model evaluation, versioning, and performance monitoring
* Promote a pragmatic and impact-driven approach to AI/ML within the company Требования
* 5–8 Years of experience in Machine Learning, Applied Data Science, or similar roles
* Strong proficiency in Python and common ML libraries, including scikit-learn, TensorFlow, and PyTorch
* Experience developing and deploying ML models in production environments
* Solid understanding of supervised and unsupervised learning
* Experience with feature engineering and real-world datasets
* Familiarity with APIs and model serving for batch and/or real-time inference
* Familiarity with Large Language Models and their use within end-to-end AI workflows
* Strong problem-solving skills and ability to translate business problems into ML solutions
* Ability to work independently and take ownership of projects end-to-end
* Master’s degree in Computer Science, Engineering, Mathematics, or a related field
* English proficiency, written and spoken, minimum B2 level
* Nice to have: PhD in a relevant discipline, experience with experimentation frameworks such as A/B testing and impact measurement, experience with cloud platforms such as AWS and containerization with Docker and Kubernetes, knowledge of MLOps practices including model deployment, versioning, monitoring, and retraining. Условия
* Permanent contract
*
Working hours
Full-time – 40h/week, from Monday to Friday
* Attractive compensation, including equity in the company
* Equity in the company through a stock options plan
* Opportunity to join a rapidly growing scale-up
* Opportunity to develop an entrepreneurial spirit and implement real-impact business decisions
* Multicultural and international team
* Collaborative environment for work and learning
* Free coffee and free beers.
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