Machine Learning Jobs in Columbia, SC

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

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.

Manages project controls for major nuclear energy projects, overseeing planning, scheduling, budgets, cost management, risk mitigation, earned value management, reporting, change control, and continuous process improvement. Leads and mentors project controls professionals, ensures consistent methodology application, and communicates project performance to stakeholders and senior leadership. The role also encourages using AI, machine learning, and advanced analytics to improve forecasting, scheduling, risk analysis, and reporting.

Leads the design, analysis, and maintenance of complex mechanical systems and components for nuclear power and advanced reactor projects. Prepares engineering calculations, drawings, specifications, and modification packages; investigates equipment failures; performs root cause analyses; reviews vendor documentation; supports quality programs; participates in design reviews; and provides technical guidance to junior engineers. Collaborates across engineering disciplines and supports operating plants, new construction, and corporate initiatives.

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.