MLOps Engineer
Core
Implement and improve data processing & machine learning pipelines, acting as the backbone for Data Scientists to optimize data solutions and infrastructures.
Role type
MLOps Engineer
Builds
Data processing pipelines, ML infrastructure, automated ETL processes, and CI/CD pipelines.
Domain
Enterprise IT, Cloud, AI/ML, Time Series Forecasting
Deliverable
production ML models | infrastructure
Required skills
Python, Linux, Cloud service providers, CI/CD pipelines, SQL, Relational databases, Time series forecasting, DevOps, Automation
Preferred skills
Docker, Kubernetes, Helm charts, Server/Cloud environment development, Data architecture design
Technologies
Python, Docker, Kubernetes, Helm, SQL, Linux, Cloud platforms
Responsibilities
Implement and improve data processing & ML pipelines; Validate and implement business changes in code repositories; Automate ETL processes; Design data architecture for prototypes; Create data tools for analytics; Write documentation and guidelines.
Seniority
Mid-level, hands-on IC
