Machine Learning Engineer I (AI)

TL;DR

Machine Learning Engineer I (AI/ML): Developing and supporting machine learning solutions for an airline offer management platform with an accent on implementing scalable ML components and data pipelines. Focus on translating research prototypes into production systems and optimizing model performance for real-time inference.

Location: Hybrid (Sofia, Bulgaria)

Company

A leading travel technology provider specializing in AI-driven offer and revenue optimization for the airline industry.

What you will do

• Implement machine learning models and data pipelines based on guidance from senior engineers and scientists.
• Convert research prototypes into reliable, scalable production workflows.
• Support the development of data pipelines and feature engineering workflows.
• Contribute to model training, evaluation, and performance tuning.
• Deploy and monitor ML models in batch and near real-time environments.
• Collaborate with software engineers to integrate ML components into production systems.

Requirements

• Degree in Computer Science, Statistics, Engineering, or a related field (Masters preferred).
• Experience in machine learning or data science, including internships.
• Proficiency in Python and familiarity with ML libraries such as Numpy, Pandas, and Scikit-learn.
• Experience with deep learning frameworks like TensorFlow and/or PyTorch.
• Knowledge of core Machine Learning and AI models.
• Must be based in or able to work hybridly in Sofia, Bulgaria.

Nice to have

• Exposure to advanced ML techniques and large-scale optimization problems.
• Experience deploying, monitoring, and maintaining ML models for batch and real-time inference.
• Experience in pricing, revenue management, and offer optimization.

Culture & Benefits

• Flexible ways of working.
• Focus on continuous learning and professional development.
• Collaborative environment with a culture of care and support.
• Opportunity to work in a domain-expert company with nearly 40 years of airline industry experience.