We are an accredited IT company GRI, engaged in the development and support of large-scale digital products. We work as a technology partner for a major e-commerce business.
We are currently strengthening our Data/ML direction and are looking for a Senior MLOps / DataOps Engineer to help build a stable and scalable infrastructure for working with data and models.
Responsibilities:
- Develop and maintain DWH infrastructure
- Build and develop CI/CD processes for data and ML development
- Develop and maintain data processing and orchestration pipelines (Airflow)
- Implement end-to-end ML pipelines: from data collection to model deployment and monitoring
- Design and develop MLOps platform (tool selection and integration)
- Deploy and maintain infrastructure for ML tasks: (JupyterHub + GPU, Airflow, ClickHouse, PostgreSQL, S3, etc.)
- Interact with ML and Data Engineers to bring solutions to production
- Configure monitoring and alerting: data quality, pipeline stability, resources
- Automate routine tasks and develop self-service tools for the data team
What is important to us:
- Solid experience with Docker and Kubernetes
- Experience with Airflow (or similar orchestration tools)
- Practice in building CI/CD for data/ML pipelines
- Good knowledge of Python, SQL, and Git
- Experience deploying ML infrastructure (GPU clusters, storage, orchestration)
- Experience with cloud platforms
- Understanding of CI/CD principles and deployment automation
- Experience with APIs and understanding of highload systems
- Experience with data streaming (Kafka / analogs)
- Practice in setting up monitoring and logging
- Confident Linux user
Will be a plus:
- Experience implementing experiment management systems (MLflow, ClearML)
What we offer:
- Employment in an accredited IT company
- 5/2 schedule with flexible start times. You can work either hybrid or fully remote
- Training at the company's expense: we pay for courses, conferences, internal meetups, and knowledge sharing
- Best Benefits loyalty program – discounts on food, sports, education, entertainment, and other perks
- Modern technical equipment – hardware, access to all necessary tools, fast support
- Comfortable office (optional): tea, coffee, fruits, sweets, lounge areas, sports equipment
- Vibrant corporate culture – both online and offline: team building events, quizzes, themed weeks
- Work without bureaucracy and micromanagement – we trust and focus on results, not control
- Support for initiatives – we listen to and value those who suggest, try, and do
