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5 months ago
350,000 – 450,000 RUB
per month
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Grade
Senior
Experience
from 3 years
Work Format
Remote
Employment
Full-time
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Position: MLOps / DevOps Engineer Company: Selecty (Recruiting Agency) Location and format: remote within RF📍 Salary 💰**: 350,000 — 450,000 ₽ net (employment contract/sole proprietorship)**
**Center for the Development of MLOps Expertise in a large bank. The team develops a unified MLOps ecosystem for the bank for the entire lifecycle of ML models and AI services.
🔹 Key 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**
⚡️ Responsibilities:
Configure and deploy infrastructure components Develop and adapt automated ML pipelines for business tasks Create and maintain internal tools for the ML domain Scale platform solutions and ML services Develop infrastructure for AutoML, LLM, and computer vision Support and improve CI/CD processes Work with Kubernetes/OpenShift cluster Participate in the development of the overall platform architecture Interact with development and Data Science teams
✔️ Candidate Expectations:
DevOps Engineer experience of 3+ years ML/MLOps experience of 1+ year Solid experience with Kubernetes/OpenShift for 2+ years Experience with Docker, Helm, Jenkins/GitLab CI Automation skills in Python Experience with Airflow, MLflow, JupyterHub, Seldon Experience with Hadoop, Spark, Kafka, ELK Understanding of CI/CD and infrastructure processes Experience supporting high-load systems
🟣 Will be a plus:
Experience with LLM/LLMOps Experience building ML platforms from scratch Understanding of Feature Store and MLOps best practices Experience interacting with DS teams
🛠 Tech Stack: JupyterHub, Airflow, Argo Workflows, MLflow, Seldon Core, Python, Hadoop, Spark, HDFS, Docker, OpenShift, Kubernetes, Longhorn, Jenkins, Kafka, Redis, PostgreSQL, ELK
🔥 Conditions:
-Voluntary Medical Insurance with dental coverage -Fitness compensation -Discounts on English courses (Skyeng) and movie tickets -Salary indexation -Modern work equipment -IT accreditation
**Send your resume to - recruiter contact✉️
