AI Engineer

• Design, develop, and deploy predictive models using regression, classification, clustering, and neural networks
• Architect and implement end-to-end AI/ML/NLP solutions compliant with cybersecurity and enterprise policies
• Produce maintainable, efficient, reliable, secure, fault-tolerant, and well-documented code
• Identify and resolve performance bottlenecks, security vulnerabilities, and technical challenges across the AI/ML stack
• Build and maintain CI/CD pipelines using Terraform, GitLab, and GitLab Runner, including automated testing, quality checks, and security scanning
• Support production operations through deployments, smoke testing, monitoring, incident/root cause analysis, and issue resolution
• Participate in Agile processes, including user-story refinement, task estimation, sprint backlog creation, reviews, demos, and retrospectives
• Collaborate with product, architecture, DevOps, security, and QA teams
• Design and run experiments, analyze results, and fine-tune models for Document AI use cases
• Document technical designs, models, and processes and communicate findings to technical and non-technical stakeholders

AI Engineer jobs in South Dakota

Senior AI Engineer