Senior MLOps Engineer

A company is looking for a Senior MLOps Engineer to take ownership of the infrastructure that powers its core machine learning products.

Key Responsibilities

Design, build, and own the end-to-end MLOps infrastructure on AWS, focusing on scalable data engineering and reliable ML systems

Implement and manage high-throughput, event-driven ML workflows to support data-centric pipelines and model execution

Develop and maintain robust CI / CD pipelines for model deployment and promotion, enforcing best practices for versioning and release strategies

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or a related technical field

5+ years of professional experience in MLOps, DevOps, or a senior Data Engineering role

Expert-level proficiency in Python and extensive experience with the AWS SDK (Boto3) and Bash

Deep, hands-on experience with core AWS services, including S3, Lambda, and SageMaker

Proven experience building and deploying containerized applications (Docker) for serving ML models