Job Description An AI Platform Engineer is responsible for designing, developing, and maintaining scalable AI infrastructure that supports machine learning models, data pipelines, and cloud-based AI services. This role bridges the gap between data science and engineering, ensuring seamless integration and deployment of AI solutions. 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/. Skills and Requirements Platform Development: Build and maintain robust AI platforms for model training, deployment, and inference. MLOps Implementation: Automate workflows and CI/CD pipelines for continuous integration and deployment of AI models. Cloud Infrastructure Management: Manage cloud-based services (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes). Performance Optimization: Monitor system performance, troubleshoot issues, and ensure scalability and reliability.