#mlops #devops #senior #vacancy #RF
Position: MLOps / DevOps Engineer
Company: Selecty (KA)
Location and format: remote within RF📍
Salary 💰: 350,000 — 450,000 ₽ net (Labor Contract/Individual Entrepreneur)
**Center for the Development of MLOps Expertise in a large bank. The team is developing a unified MLOps ecosystem for the bank to cover the full lifecycle of ML models and AI services.
🔹 Key areas:
- Model development environment and train/inference pipelines
- Model execution environment and delivery pipelines
- Non-model service platform
- Feature Store
- AutoML and AlfaPredict
- A/B testing
- RAG / LLMOps
- AI-based 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
- Maintain 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:
- At least 3 years of experience as a DevOps engineer
- At least 1 year of experience in ML/MLOps
- Solid experience with Kubernetes/OpenShift for at least 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
🟣 Bonus points:
- Experience with LLM/LLMOps
- Experience building ML platforms from scratch
- Understanding of Feature Store and MLOps best practices
- Experience interacting with DS teams
🛠 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 - @alinarood
