CGI

Machine Learning Operations Engineer

Strongsville, Ohio · Full-time

Sponsorship not specified$63k-$139kDetected 15 days ago

PythonAWSCI/CDKafkaMachine LearningPandasSparkData EngineeringData ScienceMLOpsCollaboration

About the role

This role focuses on operational excellence, including optimizing feature engineering pipelines and maintaining machine learning models in production environments.
This position will be performed onsite five days a week from any our client sites in Dallas, t/Strongsville, OH/Pittsburg, PA Future duties and responsibilities .
Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. .

Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.
Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.
Integrate with existing model serving frameworks to support testing, deployment, and rollback processes.
Build near real-time ML pipelines using Kafka and Spark Streaming.
Experience contributing to or building internal MLOps frameworks/platforms.
To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role.

Required qualifications to be successful in this role
6+ years of experience in software engineering, data engineering, or MLOps roles.
Experience with CI/CD pipelines and best practices in ML environments.
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role.

Hands-on experience with monitoring tools for ML pipeline health and performance.
CGI's benefits are offered to eligible professionals on their first day of employment to include:

We are seeking an experienced MLOps Engineer with strong expertise in Python and big data technologies to join our team.

This listing is sourced directly from CGI's careers page and normalized into a canonical job model.