ML Engineer
7.0/10
Aviasales
Not specified
Remote
mid
about 2 months ago
aidevSQLPythonDockerKubernetesJenkinsPrometheusGrafana
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Description
What you'll do
- •Design and maintain data pipelines for the ML platform.
- •Develop and support offline (batch) training and inference services for ML models.
- •Deploy models to production, ensure stability and scalability, and develop monitoring systems.
- •Analyze model quality.
- •Collaborate with development and analytics teams for model integration.
Requirements
- •At least 3 years of experience in Data Engineering/ML.
- •Proficient in SQL and Python, understanding of Lakehouse concepts.
- •Experience with model building (linear/tree models, ensembles) for various tasks (regression, classification, clustering, time series, etc.).
- •Skills in working with containers (Docker, Kubernetes), CI/CD (Jenkins), and monitoring (Prometheus, Grafana).
- •Willingness and ability to work in a team, share knowledge and experience.
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