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Machine Learning Operations EngineerCGI Njoyn • Strongsville, Ohio, United States
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Machine Learning Operations Engineer

CGI Njoyn
  • US
    Strongsville, Ohio, United States
  • US
    Strongsville, Ohio, United States
Jetzt Bewerben

Über

Job order - J0426-1279 - Permanent Full Time
Title Machine Learning Operations Engineer
Category Software Development/ Engineering
City Strongsville, Ohio, United States
Job 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. The 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 at our client site in Strongsville, OH.
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.
Qualifications
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.
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.
Benefits
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
Qualified applicants will receive consideration for employment without regard to 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.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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 U.S. government security clearance held. Depending on 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 qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.
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  • Strongsville, Ohio, United States

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