Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PROS

Machine Learning Engineer I

PROS

Machine Learning Engineer I developing and supporting AI-driven solutions for airline revenue optimization. Collaborating with engineers and data scientists to implement scalable ML components.

Posted 6/12/2026full-timeSofia • 🇧🇬 BulgariaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
NumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Implement machine learning models and data pipelines based on guidance from senior engineers and scientists
  • Assist in converting research prototypes into reliable, scalable production workflows
  • Support 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
  • Debug issues in data pipelines and model performance with support from senior team members
  • Write clean, maintainable, and well-documented code
  • Collaborate with software engineers to integrate ML components into production systems

Requirements

What you’ll need
  • Degree in Computer Science, Statistics, Engineering, or related field (Masters preferred)
  • Experience in machine learning, data science, or related area (internships included)
  • Proficiency in Python and familiarity with ML libraries (such as Numpy, Pandas, Scikit-learn)
  • Experience with deep learning frameworks (TensorFlow and/or PyTorch) and/or machine learning workflows
  • Knowledge of core Machine Learning and AI models
  • Strong problem-solving skills and willingness to learn
  • Exposure to advanced ML techniques and large-scale optimization problems (highly preferred)
  • Experience deploying, monitoring, and maintaining ML models for batch and real-time inference (highly preferred)
  • Experience in pricing, revenue management, and offer optimization (highly preferred)

Benefits

Comp & perks
  • Flexible ways of working
  • Continuous learning opportunities

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata pipelinesfeature engineeringmodel trainingmodel evaluationperformance tuningPythonNumpyPandasScikit-learn
Soft Skills
problem-solvingwillingness to learn