Machine Learning Engineer

Job Description

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  ideal candidate is a strong Java developer with cloud‑native experience who can bridge the gap between machine learning models and enterprise software systems.

• 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

• 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
• Git Hub
• Jenkins
• Docker and Kubernetes – experience supporting ML models in production
• Python experience (not required)
• Prior experience working with ML lifecycle tools (training, monitoring, evaluation)

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.

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