Job Description Insight Global is seeking a Machine Learning Engineer II for a leading healthcare organization focused on advancing data-driven innovation. This candidate will help build and scale a growing machine learning ecosystem, supporting the deployment, automation, governance, and monitoring of ML models in production. The ideal candidate comes from a strong technical background in software engineering, data engineering, analytics, or machine learning and has successfully transitioned into AI/ML-focused work. This person will collaborate closely with cross-functional teams to develop scalable ML infrastructure, improve operational efficiencies, automate model lifecycle processes, and support cloud-based solutions. This is an exciting opportunity to join a greenfield environment where you can help shape machine learning operations from the ground up while working with modern technologies such as Azure Fabric, GitHub, and enterprise-scale data platforms.

Day-to-Day:

Develop and refine machine learning deployment pipelines and workflows for production environmentsSupport lifecycle governance, versioning, and reproducibility of ML modelsImplement and maintain model monitoring, performance tracking, and drift detection systemsBuild dashboards and alerting mechanisms for model performance visibilityPartner with data scientists, software engineers, and DevOps teams on ML solutionsAutomate model retraining, validation, and deployment processesApply healthcare data governance and security standards to ML systemsOptimize and scale cloud infrastructure supporting machine learning workloadsCreate technical documentation and contribute to best practices and knowledge sharingSupport a greenfield ML environment and help establish foundational ML operational processes

Skills and Requirements Must-Haves:

4-5 years of hands-on AI/ML experienceBackground in software development, data engineering, data analytics, or similar technical disciplineStrong coding/programming experienceExperience supporting machine learning models in production environmentsKnowledge of MLOps practices, ML lifecycle management, deployment, monitoring, and automationExperience with cloud platforms and ML infrastructure optimizationFamiliarity with CI/CD pipelines, containerization, and cloud infrastructureExperience working in enterprise-level data environmentsExposure to GitHub and Azure Fabric environmentsBachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)

Plusses:

Healthcare industry experienceExperience in regulated environmentsCloud certifications (Azure, AWS, GCP)Machine Learning or DevOps certificationsExperience with VS CodePrior MLOps, DevOps, or ML Engineering experience 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.