for working with BigData and ML infrastructure. Database optimization, infrastructure component configuration, support for ML tools.
Tasks:
- Optimizing database settings for BigData and Streaming FeatureStore
- Configuring and deploying infrastructure components
- Creating and maintaining custom tools for unified ML application and training environments
- Scaling developed systems and tools for managing the lifecycle of machine learning models
Requirements:
- 2+ years of experience in configuring and optimizing BigData solutions
- 3+ years of DevOps experience (docker, helm, jenkins\gitlab CI, python)
- Experience administering Kubernetes and/or MLOPS solutions will be an advantage
- Experience with Hadoop, Spark, Kafka, ELK
- Independence, proactivity, and initiative in suggesting refactoring
- Full immersion in the infrastructure and team, readiness to help colleagues and users
- Ability to grasp the overall picture of the expected result, rather than solving a specific assigned task
Conditions:
- Stable and transparent income: salary level is discussed upon completion of the interview
- Work in an agile team
- Work from the office or hybrid work format (your choice)
- Complex and interesting tasks, modern technology stack
- Opportunities for vertical and horizontal career growth: regular trainings, webinars, meetups, and demo days are held
- Access to free corporate libraries Alpina Digital, MyBook and business publications
- Bank-specific offers for employees only: own gym, as well as discounts on services from travel agencies, food products, in restaurants, bars, shops
Skills:
- Docker
- Helm
- Jenkins
- GitLab CI
- Python
- Kubernetes
- MLOps
- Hadoop
- Spark
- Kafka
- ELK
