Описание вакансии
Обязанности
•Build automation infrastructure
•Build data pipelines for training and inference
•Deploy machine learning models
•Design pipeline infrastructure
•Develop machine learning platform
•Ensure data accuracy consistency efficiency
•Lead MLOps engineers
•Mentor team members
•Migrate platform from Dask to Ray
•Monitor model performance
•Own end to end pipeline initiatives
•Partner with R and D to translate research needs
•Retrain models
•Review code and set engineering standards
Технологии: AWS, Apache Airflow, Apache Spark, Cloud platform, Dagster, Dask, Data Pipelines, Distributed Computing, Docker, Google Cloud, Google Cloud Platform, Kubernetes, MLOps, Machine Learning, Microsoft Azure, Model Deployment, Model Monitoring, Model Training, Model retraining, Python, Ray