Job Description We are seeking an experienced MLOps Engineer to help bridge the gap between data science experimentation and production engineering. In this role, you will build and support the processes that allow machine learning models to move from development into reliable, scalable production environments.

The ideal candidate has hands-on experience across the machine learning lifecycle, including pipeline development, model deployment, CI/CD automation, production monitoring, and ongoing model support.

What You'll DoBuild and maintain automated pipelines supporting the machine learning lifecyclePartner with data scientists and engineering teams to move models from experimentation into productionDevelop solutions using Python and SQLImplement and improve CI/CD processes for machine learning applicationsDeploy, monitor, and maintain machine learning models in productionIdentify and resolve performance, reliability, and deployment issuesHelp establish repeatable MLOps processes and engineering best practices Skills and Requirements 5+ years of professional experience with hands-on MLOps responsibilitiesStrong programming experience with PythonStrong SQL skillsExperience with AWSExperience with Amazon SageMaker We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.