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Machine Learning Engineer I (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Machine Learning Engineer I (AI) (Python/ML): Developing and supporting machine learning components, data pipelines, and production workflows for an AI-powered airline offer management platform with an accent on model implementation, feature engineering, and batch and near-real-time deployment. Focus on converting research prototypes into scalable systems, monitoring model performance, and integrating ML components with production software.

Location: Sofia, Bulgaria — hybrid

Company

hirify.global provides AI-powered offer management and revenue optimization software for the airline industry.

What you will do

  • Implement machine learning models and data pipelines with guidance from senior engineers and data scientists.
  • Convert research prototypes into reliable, scalable production workflows.
  • Develop feature engineering and data pipeline workflows.
  • Contribute to model training, evaluation, and performance tuning.
  • Deploy, monitor, and maintain ML models in batch and near-real-time environments.
  • Debug data pipeline and model performance issues and integrate ML components with production systems.

Requirements

  • Degree in Computer Science, Statistics, Engineering, or a related field; a master's degree is preferred.
  • Experience in machine learning, data science, or a related area, including internships.
  • Proficiency in Python and familiarity with NumPy, Pandas, and scikit-learn.
  • Experience with TensorFlow, PyTorch, and/or machine learning workflows.
  • Knowledge of core machine learning and AI models, along with strong problem-solving skills and willingness to learn.

Nice to have

  • Exposure to advanced ML techniques and large-scale optimization problems.
  • Experience deploying, monitoring, and maintaining models for batch and real-time inference.
  • Experience with pricing, revenue management, or offer optimization.
  • Experience crafting prompts, using AI tools, or applying agentic AI systems.

Culture & Benefits

  • Flexible ways of working and a culture focused on care, innovation, ownership, and accountability.
  • Opportunities for continuous learning and professional growth.
  • Work on AI-driven airline retailing and intelligent offer and revenue optimization.

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