Software Engineer II

INSPYR Solutions provides technology and talent solutions aligned with clients’ business objectives and technical needs. The company is seeking a Software Engineer II to develop and support production Machine Learning systems, with a focus on classification models, data quality, model performance, and system reliability.

Responsibilities:

• Develop, enhance, and maintain software solutions supporting production Machine Learning systems
• Build, evaluate, and support classification models and related ML workflows
• Monitor model and data quality, analyze dataset integrity, and investigate performance regressions
• Identify system gaps and help prevent invalid or low-quality configurations from reaching production
• Write clean, maintainable, well-tested code following established engineering standards
• Troubleshoot, debug, and resolve software and ML system issues throughout the development lifecycle
• Participate in code reviews and incorporate feedback to improve code quality and reliability
• Collaborate with cross-functional engineering, product, data, and other technical teams
• Support operational excellence through monitoring, incident response, system reliability, and performance improvements
• Create and maintain technical documentation for implemented solutions

Requirements:

• US Citizen, Green Card Holders, or Authorized to Work in the U.S
• 3+ years of professional software engineering experience
• Hands-on experience developing and evaluating Machine Learning models, particularly classification models
• Experience building, maintaining, or supporting ML systems in production environments
• Proficiency in at least one general-purpose programming language such as Python, Java, C++, Go, or similar
• Experience building, testing, and maintaining production-quality software
• Experience with standard software development practices and tools, including version control, code reviews, and CI/CD
• Strong debugging, analytical, and problem-solving skills
• Ability to work effectively in a fast-paced, collaborative engineering environment
• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience
• Experience supporting large-scale, data-intensive or Machine Learning-driven products
• Experience with ML model monitoring, data quality, model performance analysis, or regression investigation
• Experience maintaining reliability and quality guardrails across ML pipelines
• Previous experience working in large-scale technology or consumer-facing product environments
• Experience collaborating across software engineering, Machine Learning, data, and product teams