machine learning engineer for travel management

Описание

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

Задачи

• 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. xghoner

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.

#J-18808-Ljbffr