Job Details

Senior MLOps Engineer at JETLYN, remote position in Russia. Salary from 330,000 to 440,000 RUB/month. Focus on building and maintaining ML infrastructure, including LLM and computer vision pipelines.

We are the machine learning platform team for one of Russia's largest banks. We are building a unified infrastructure for developing, training, and operating ML models, from classic algorithms to LLM and computer vision. Responsibilities: • Configure and deploy infrastructure components for the ML platform: Kubernetes clusters, storage, message brokers, monitoring. • Create and support user tools for the unified ML environment: JupyterHub, MLflow, services for model training and inference. • Develop automated pipelines from scratch for AutoML, LLM, and computer vision: from data preparation to deployment and monitoring. • Ensure scalability, fault tolerance, and security of developed systems. • Implement LLMOps practices: prompt management, data and model versioning, A/B testing, LLM quality monitoring. • Participate in RAG architecture design: integration with vector databases, orchestration of retrieval and ranking pipelines. • Automate routine operations: CI/CD for ML, configuration management, infrastructure self-healing.

• Mandatory experience working in a bank • Experience with A/B testing • Skills in RAG/LLMOps • Experience developing automated pipelines from scratch (AutoML, LLM, computer vision, etc.) • DevOps experience from 3 years (Docker, Helm, Jenkins/GitLab CI, Python) • ML/MLOps experience from 1 year (Airflow, JupyterHub, MLflow, Seldon, CUDA) • Kubernetes administration experience from 2 years • Experience with Hadoop, Spark, Kafka, ELK

Employment type: TK/IP (Labor Code/Individual Entrepreneur)