MLOps Engineer

A company is looking for an MLOps Engineer to build and maintain infrastructure for AI-driven systems.

Key Responsibilities

Design, build, and maintain end-to-end MLOps pipelines supporting the complete model lifecycle

Deploy and operationalize ML models for various applications, ensuring high availability and performance

Implement monitoring systems and CI / CD pipelines tailored for ML workflows

Required Qualifications

BSc or MSc in Computer Science, Data Science, Engineering, or equivalent practical experience

3+ years of experience building and maintaining ML pipelines in production environments

Strong Python programming skills with software engineering best practices

Proven experience with MLOps platforms and tools such as Docker and Kubernetes

Experience with cloud platforms and infrastructure-as-code tools