machine learning engineer for travel management

BizAway provides travel management services and solutions for companies, focusing on sustainability, technology, and innovative processes.

• 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.

• 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.

• 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.