обновлено 2 часа назад
Machine Learning Engineer I (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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