MLOps Engineer for AI Center Infrastructure, Senior

Company: Kontur

🔹Technologies -Languages and frameworks: Python, FastAPI, Celery. -Infrastructure and deployment management: Ansible, Docker, Kubernetes, Helm. -CI/CD: GitLab CI/CD. -Telemetry tools: Prometheus, Grafana, OpenTelemetry, Sentry. -Databases: PostgreSQL, MongoDB, Redis.

🔹Tasks -Develop ML model hosting tools: implement and develop inference engines and related infrastructure, monitor global trends, conduct R&D on global solutions. -Develop ML infrastructure: Clear ML experiment tracker, internal data labeling tools, Milvus vector database, distributed computing solution, as well as those tools and services we've already thought of but haven't implemented yet. -Develop internal services: maintain a computational resource scheduler for running DS solutions, a bot for deep analysis of AI Center support channels, and applied solutions for cluster management and billing.

🔹We expect -Experience with Docker and Kubernetes for ML model deployment. -Experience with Ansible. -Knowledge and experience in implementing DevOps practices: CI/CD, IaC, SRE. -Experience with monitoring systems Prometheus, Grafana, ELK. -Python programming experience at the level of understanding the ecosystem, basic libraries, and practical programming skills. -Experience in designing and implementing infrastructure solutions. -Ability and willingness to work in conditions of high uncertainty.

🔹Will be a plus -Experience as an MLOps Engineer or similar role. -Understanding of the ML solutions lifecycle and specifics of their production deployment. -Experience with vector databases. -Knowledge of ML tools and libraries. -Experience with GPU servers and diagnosing GPU issues.

🔹We offer -Income level that depends on your technical knowledge and skills. We regularly review salaries considering professional growth. There are also financial bonuses. -Care for your comfort. You can work remotely, hybrid, or in the office; in any case, we will provide equipment and everything you need. If you prefer to work from the office, we will provide a comfortable workspace, recreation areas, and a kitchen with healthy snacks. -Strong engineering community. We regularly hold internal technical conferences, share experience between teams. You will always find someone to consult with. -Opportunity to change products, teams, or subject areas within the company. We support development in any direction. -Communication on a 'tu' basis (informal 'you') and maximum horizontal connections in the team to agree and solve work tasks faster. -Opportunity to share expertise. We help you speak at conferences, participate in podcasts or videos, and write articles. -Support for professional development. We organize internal and external training.

Contacts: recruiter contact