Machine Learning Jobs in Columbia, SC

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.

Lead end-to-end delivery of AI and ML services within Managed Services. Manage project planning, budgeting, execution, and quality. Mentor and develop team members, cultivate client relationships, implement model monitoring and operationalization practices, and collaborate with architects and engineers to ensure compliant, reusable AI solutions.

Senior-level engineer delivering analytics and ML-Ops solutions for healthcare payers. Design and implement analytics platforms on Databricks, develop CI/CD and provisioning patterns, collaborate with data scientists, mentor juniors, and build client relationships to drive actionable insights and operational improvements.

As an AI/ML Data Contributor, you perform tasks like data labeling and content evaluation to enhance machine learning models, ensuring quality and adhering to project timelines.

The AI/ML Data Contributor will perform data labeling, content evaluation, and user testing to improve machine learning models, participating in remote and on-site tasks.

AI/ML Data Contributors will perform tasks like data labeling and evaluation to enhance machine learning models, both remotely and on-site.

As an AI/ML Data Contributor, you'll perform data labeling and evaluation tasks to improve machine learning models, working flexibly on various projects.

Manage and report project cost performance, establish and maintain cost baselines, monitor contractors, perform trend and risk analysis, produce dashboards and AI-driven forecasts, and collaborate across project teams to ensure alignment with cost and cash-flow targets.