backend engineer with MLOps for travel ML systems
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Описание
Parser is a global leader in the travel industry. Its Machine Learning Engineering team builds ML solutions for ranking, recommendation, and pricing optimization.
Задачи
- Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments
- Build and maintain efficient data pipelines for large-scale processing and feature engineering
- Optimize compute resources and improve model-serving performance across ML systems
- Implement monitoring, logging, and alerting systems, and contribute to ML Ops practices, including CI/CD pipelines
- Collaborate with data scientists to streamline the model development-to-production workflow
- Research and integrate new technologies
- Mentor junior engineers and communicate technical solutions to diverse stakeholders
Требования
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- 6–7 Years of experience in Software, Data, or ML engineering roles (preferred)
- Strong problem-solving skills
- Proficiency in Java; Python is desirable
- Understanding of ML algorithms and model architectures
- Experience building scalable, reliable ML systems
- Exposure to cloud platforms such as AWS, containerization with Docker, and scalable data systems such as Spark and Kafka
- Familiarity with CI/CD tools such as GitHub Actions and ML model serving technologies such as MLflow
- Ability to collaborate well across teams
- A solid foundation in at least one of software engineering, data engineering, distributed systems, or applied machine learning, and readiness to grow into other areas as required
- Будет плюсом: Python
Условия
A friendly, collaborative team focused on knowledge sharing and continuous learning
Opportunity to work on MLOps and Machine Learning infrastructure using Java, Python, AWS, Docker, Kafka, Spark, and MLflow to power real-time ML systems
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madrid, comunidad de madrid, España Parser Jornada completaОписаниеParser is a global leader in the travel industry. Its Machine Learning Engineering team builds ML solutions for ranking, recommendation, and pricing optimization.ЗадачиDesign and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environmentsBuild and maintain efficient data pipelines for...
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