Machine Learning Operations Engineer

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 diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their 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 recruiting process, please send a request to HR@insightglobal.com.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/.

• Bachelor’s 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
• GCP

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.