{"schemaVersion":"jobsearcher.job.v1","id":"dfa98f1f84d584d520dfb9c8","url":"https://jobsearcher.com/jobs/dfa98f1f84d584d520dfb9c8","canonicalUrl":"https://jobsearcher.com/jobs/dfa98f1f84d584d520dfb9c8","title":"Machine Learning Operations Engineer","description":"Job order - J0426-1279 - Permanent Full Time\r\nTitle Machine Learning Operations Engineer\r\nCategory Software Development/ Engineering\r\nCity Dallas, Texas, United States\r\nOverview\r\nWe 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 our client sites in Dallas, Strongsville, OH, and Pittsburg, PA.\r\nResponsibilities\r\nOptimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.\r\nRefactor and modularize ML codebases to enhance reusability, maintainability, and performance.\r\nCollaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.\r\nIntegrate with existing model serving frameworks to support testing, deployment, and rollback processes.\r\nMonitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency.\r\nContribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices.\r\nBuild near real-time ML pipelines using Kafka and Spark Streaming.\r\nWork with AWS and SageMaker MLOps ecosystem.\r\nQualifications\r\n6+ years of experience in software engineering, data engineering, or MLOps roles.\r\nStrong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow.\r\nDeep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.\r\nExperience with CI/CD pipelines and best practices in ML environments.\r\nHands-on experience with monitoring tools for ML pipeline health and performance.\r\nStrong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).\r\nExperience contributing to or building internal MLOps frameworks/platforms.\r\nFamiliarity with SLURM clusters or other distributed job schedulers.\r\nExposure to Kafka, Spark Streaming, or other real-time data processing technologies.\r\nUnderstanding of ML lifecycle management, including versioning, deployment, and drift detection.\r\nBenefits\r\nCompetitive compensation\r\nComprehensive insurance options\r\nMatching contributions through the 401(k) plan and the share purchase plan\r\nPaid time off for vacation, holidays, and sick time\r\nPaid parental leave\r\nLearning opportunities and tuition assistance\r\nWellness and Well-being programs\r\nEqual Employment Opportunity\r\nQualified 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.\r\nCGI 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. Your message will be routed to the appropriate recruiter who will assist you. 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.\r\nAll CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary depending on the specific assignment and/or level of U.S. 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.\r\nCGI 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.\r\nJ-18808-Ljbffr","company":"Cgi Njoyn","rawCompany":"cgi njoyn","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:16:50.133Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Operations Engineer","description":"Job order - J0426-1279 - Permanent Full Time\r\nTitle Machine Learning Operations Engineer\r\nCategory Software Development/ Engineering\r\nCity Dallas, Texas, United States\r\nOverview\r\nWe 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 our client sites in Dallas, Strongsville, OH, and Pittsburg, PA.\r\nResponsibilities\r\nOptimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.\r\nRefactor and modularize ML codebases to enhance reusability, maintainability, and performance.\r\nCollaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.\r\nIntegrate with existing model serving frameworks to support testing, deployment, and rollback processes.\r\nMonitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency.\r\nContribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices.\r\nBuild near real-time ML pipelines using Kafka and Spark Streaming.\r\nWork with AWS and SageMaker MLOps ecosystem.\r\nQualifications\r\n6+ years of experience in software engineering, data engineering, or MLOps roles.\r\nStrong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow.\r\nDeep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.\r\nExperience with CI/CD pipelines and best practices in ML environments.\r\nHands-on experience with monitoring tools for ML pipeline health and performance.\r\nStrong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).\r\nExperience contributing to or building internal MLOps frameworks/platforms.\r\nFamiliarity with SLURM clusters or other distributed job schedulers.\r\nExposure to Kafka, Spark Streaming, or other real-time data processing technologies.\r\nUnderstanding of ML lifecycle management, including versioning, deployment, and drift detection.\r\nBenefits\r\nCompetitive compensation\r\nComprehensive insurance options\r\nMatching contributions through the 401(k) plan and the share purchase plan\r\nPaid time off for vacation, holidays, and sick time\r\nPaid parental leave\r\nLearning opportunities and tuition assistance\r\nWellness and Well-being programs\r\nEqual Employment Opportunity\r\nQualified 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.\r\nCGI 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. Your message will be routed to the appropriate recruiter who will assist you. 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.\r\nAll CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary depending on the specific assignment and/or level of U.S. 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.\r\nCGI 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.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:16:50.133Z","dateModified":"2026-06-25T01:16:50.133Z","hiringOrganization":{"@type":"Organization","name":"Cgi Njoyn","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dfa98f1f84d584d520dfb9c8"},"url":"https://jobsearcher.com/jobs/dfa98f1f84d584d520dfb9c8"}}