Machine Learning Operations Engineer

Machine Learning Operations Engineer


Category: Software Development/ Engineering

Main location: United States, Texas, Dallas


Alternate Location(s): United States, Strongsville
United States, Pittsburgh

Position ID:J0426-1279


Employment Type: Full Time


Position Description:


We are seeking an experienced MLOps Engineer with strong expertise in Python and big data technologies to join our team. This role focuses on operational excellence, including optimizing feature engineering pipelines and maintaining machine learning models in production environments. Desired candidate will work closely with platform and data science teams to ensure scalable, reliable, and high-performance ML workflows using existing frameworks.
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
. Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.
. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance.
. 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.
. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency.
. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices.
. Build near real-time ML pipelines using Kafka and Spark Streaming.
. Work with AWS and SageMaker MLOps ecosystem.


Required qualifications to be successful in this role
. 6+ years of experience in software engineering, data engineering, or MLOps roles.
. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow.
. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.
. Experience with CI/CD pipelines and best practices in ML environments.
. Hands-on experience with monitoring tools for ML pipeline health and performance.
. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).
. Experience contributing to or building internal MLOps frameworks/platforms.
. Familiarity with SLURM clusters or other distributed job schedulers.
. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies.
. Understanding of ML lifecycle management, including versioning, deployment, and drift detection.
#2026NS
#LI-SG2
#DICE
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. 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. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $62,900.00 - $139,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well-being programs

Skills:

• Apache Kafka
• Hadoop Hive
• Pandas
• Python

What you can expect from us:

Together, as owners, let's turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...


You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.

Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.


Come join our team-one of the largest IT and business consulting services firms in the world.

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

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