MLops\Devops Engineer

Company: Selecty (KA); Position: MLops\Devops Engineer; Location: RF; Work format: remote; Employment: full-time; Salary range: from 200 thousand to 250 thousand rubles net

We are looking for a middle MLops\Devops engineer for a project to build chatbots and agents to improve customer service and data product quality. Understanding of data languages (SQL, Spark), infrastructure (K8s, Docker), and machine learning (Python, MLflow) is required.

Technology Stack:

• Production experience with MLOps frameworks: Kubeflow, MLflow, Airflow for orchestration.
• Understanding of their integration into CI/CD pipelines.
• Containerization and orchestration: Docker and Kubernetes (in the context of deploying models as services).
• Cloud infrastructure: Experience with one of the major cloud providers (preferably GCP or AWS/Azure with an understanding of hybrid-cloud).
• Data Engineering: Ability to work with big data.
• Understanding of distributed computing (Spark).
• ML frameworks and APIs: practical experience with LangChain/LlamaIndex, FastAPI, knowledge of frameworks for working with LLMs (Hugging Face, vLLM, etc.).
• Programming languages: Fluent Python. Very high-level SQL knowledge for working with data vaults.
• Version control systems: Git, GitLab CI/CD.

Key Skills and Requirements:

• Real experience in bringing NLP applications to production (chatbots, semantic search, text classification).
• Experience in building and optimizing ML pipelines for model training, inference, and monitoring.
• Experience with vector databases (e.g., Qdrant, Weaviate, pgvector) for RAG systems (relevant for a Confluence chatbot).

Our conditions: • Employment in an accredited IT company under the Labor Code of the Russian Federation: fully official salary, paid vacation and sick leave; • Salary indexation; • Extended VHI program; • Discounts on fitness, cinema, and English lessons; • Equipment according to project requirements.

Contact for communication: recruiter contact