3 months ago
450,000 – 500,000 RUB
per month
Reach out directly about this role
Grade
Lead
Experience
from 3 years
Work Format
Remote
Employment
Full-time
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Publisher: Alina Olenich
Position: TeamLead MLOps / DevOps (Pipelines)
Company: Selecty (KA)
Location and format: remote within RF
Salary: 450,000 — 500,000 ₽ net according to the Labor Code (higher for individual entrepreneurs)
The bank's MLOps expertise development center is looking for a TeamLead to join the centralized MLOps infrastructure development team. The team is creating a unified MLOps ecosystem for the full lifecycle of ML models and AI services. Main areas: • Model development environment and train/inference pipelines • Model execution environment and delivery pipelines • Non-model services platform • Feature Store • AutoML and AlfaPredict • A/B testing • RAG / LLMOps • AI-powered document processing system What you will do: • Lead the development of MLOps projects and pipelines • Configure and deploy platform infrastructure components • Develop and adapt automated MLOps and AutoML pipelines for business tasks • Create and maintain tools for a unified ML training and model application environment • Scale infrastructure and ML model lifecycle management tools • Develop platform architecture, gather requirements from product teams, and participate in MVP creation • Coordinate team activities and interact with development, analytics, and Data Science teams
Candidate expectations: • At least 3 years of experience as a DevOps engineer • At least 1 year of experience in MLOps/ML Infrastructure • Independence, initiative, and technical leadership experience • At least 2 years of Kubernetes administration experience (bare metal) • Solid knowledge of Docker, Helm, GitLab CI, Jenkins, Python • Experience with Hadoop, Spark, Kafka, ELK • Practical experience with Airflow, JupyterHub, MLflow, Seldon, CUDA will be an advantage • Experience with ArgoCD
Stack: GitLab CI, Jenkins, Kubernetes (bare metal), Docker, Helm, ArgoCD, Airflow, MLflow, JupyterHub, Seldon, Python, Hadoop, Spark, Kafka, ELK, CUDA
Conditions:
Send your CV to - alinarood