Machine Learning Engineer

Insight Global is seeking a Machine Learning Engineer / Java Developer to support production‑level machine learning systems for a dynamic pricing platform. This role is closer to a traditional software engineering position and focuses on building, deploying, and maintaining the infrastructure that enables ML models to operate at scale. The ideal candidate is a strong Java developer with cloud‑native experience who can bridge the gap between machine learning models and enterprise software systems.

Responsibilities include:
• Build and maintain systems that support machine learning models
• Develop APIs to serve and integrate ML models
• Support model training, deployment, and monitoring
• Maintain CI/CD pipelines for ML‑enabled systems
• Ensure scalability, reliability, and performance of ML services
• Partner with data scientists to operationalize models
Support ML models throughout their full lifecycle

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/.

• 3–5 years of experience as a software engineer or ML engineer
• Strong Java development experience (primary language)
• Strong software engineering fundamentals
• Experience building and supporting APIs
• Experience working in cloud‑native environments
• Understanding of machine learning concepts/ models
• Familiarity with:
• AWS
• CI/CD pipelines
• GitHub
• Jenkins
• Docker and Kubernetes

Experience supporting ML models in production
Python experience (not required)
Prior experience working with ML lifecycle tools (training, monitoring, evaluation)

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.