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Job Description

Insight Global is looking for a Machine Learning Operations Engineer for a large consulting client. This person will play a critical role in developing and implementing machine learning operations processes and infrastructure to support the data science initiatives for a large healthcare client. This is a fulltime role with compensation starting at $110K as well as benefits and bonus structures.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

Bachelors degree in computer science or a related field; advanced degree preferred.

3-7 years of experience working as an MLOps Engineer or similar role within a data-driven organization.

Experience with Kubernetes and Kubeflow, MLFlow

Strong understanding of machine learning concepts and algorithms.

Kubernetes - don't have to create the models, just take care of Infrastructure

Proficiency in Python developing ML pipelines/scripts.

Experience with popular MLOps toolkits such as Kubeflow Pipelines, TensorFlow Extended (TFX), MLflow, etc

Solid knowledge of containerization technologies like Docker and Kubernetes for deploying ML models at scale.

Familiarity with cloud platforms like Azure for building scalable infrastructure solutions

Experience with version control systems like Git/GitHub for managing code repositories SQL

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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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. 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 [email protected].