Job Description Insight Global is seeking a Machine Learning Engineer to support the development of next-generation Navy training and simulation systems. This role combines software engineering, machine learning, and technical research to identify opportunities for automation, predictive analytics, training optimization, and intelligent decision support within complex combat training environments. The ideal candidate has a strong foundation in Python development, machine learning model development, Linux-based systems, and software integration. This individual will work closely with engineering teams, architects, and stakeholders to evaluate training workflows, develop prototype solutions, and help shape the future application of machine learning technologies across mission-critical defense systems. Responsibilities include but are not limited:

• Assess existing training and simulation workflows to identify opportunities where machine learning can improve operational effectiveness.
• Design, develop, train, and evaluate machine learning models for predictive analytics, behavior modeling, automation, and performance assessment.
• Build and maintain data pipelines supporting model training, testing, validation, and deployment.
• Develop proof-of-concepts and prototypes to evaluate emerging machine learning capabilities.
• Integrate machine learning solutions into Linux-based software environments using APIs, containers, and modern deployment techniques.
• Collaborate with software engineers, systems engineers, and architects to support implementation efforts.
• Participate in Agile development activities including sprint planning, design reviews, and technical discussions.
• Troubleshoot and optimize machine learning workflows, model performance, and software integrations.
• Produce technical documentation, architecture diagrams, evaluation reports, and implementation recommendations.
• Support system testing, validation activities, and occasional on-site customer support.

Compensation:

$55

• 60/hr Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st 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. 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.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• Eligible to obtain a DoD Secret Clearance.
• Bachelor's degree and 2+ years of relevant experience OR High School Diploma/GED and 6+ years of relevant experience.
• Strong Python development experience.
• Experience developing, training, evaluating, and deploying machine learning models.
• Experience working within Linux-based development environments.
• Experience with data preparation, feature engineering, model training, and model evaluation workflows.
• Software engineering experience supporting application development, integration, and troubleshooting.
• Ability to identify and solve complex technical problems with limited direction.
• Experience working in Agile development environments.
• Ability to obtain Security+ certification within 3 months of hire.
• Experience deploying machine learning models into production or operational environments.
• Experience integrating ML models into software applications and workflows.
• Experience with PyTorch, TensorFlow, Scikit-Learn, ONNX, or similar ML frameworks.
• Experience developing REST APIs, microservices, or service-based architectures.
• Experience with Docker, Kubernetes, Podman, or containerized deployments.
• Experience with Git, GitLab, CI/CD pipelines, DevSecOps, or MLOps practices.
• Experience with model monitoring, model lifecycle management, or ML operations.
• Experience building data pipelines and automation solutions.
• Experience working with voice, sensor, telemetry, geospatial, operational, or training data.
• Experience supporting simulation environments, training systems, or modeling & simulation efforts.
• Experience supporting Navy, DoD, aerospace, defense, or other regulated environments.
• Experience conducting technical research, prototyping, and solution evaluation.
• Ability to work independently in ambiguous environments while helping define future ML capabilities and roadmap initiatives.