Top Artificial Intelligence Jobs in Oklahoma City, OK

The Quality Insights Lead will manage customer success post-onboarding, ensuring satisfaction through data insights and proactive support. Responsibilities include monitoring account health, resolving issues, and identifying expansion opportunities.

The Principal Account Manager will manage key OEM accounts, ensuring execution, driving growth opportunities, and maintaining customer commitments. The role requires a mix of technical expertise and commercial acumen, working across various functions to guarantee client satisfaction and performance.

Manage a large deployment project using Kronos, including scheduling applications, preparing executive dashboards, and driving results with a team.

Responsible for the administration of Linux operating systems, ensuring design compatibility and adherence to IT standards, troubleshooting issues, and managing system performance.

The role involves data labeling, annotation, content evaluation, and testing to enhance machine learning models, requiring attention to detail and basic computer skills.

The Account Executive will sell Air products and solutions to law enforcement, focusing on customer relationships, account strategies, and technical understanding of the offerings.

Administer and enhance Logik CPQ, build and validate complex quotes, maintain Salesforce data quality, and partner with Sales, Finance, Legal, and Product to ensure accurate quote-to-cash execution.

As a Data Scientist, you'll build production-grade ML systems for HVAC efficiency, working on scaling models, database optimization, and real-time monitoring systems.

Lead and own cross-organizational technical programs for ML and robotics platform development, define roadmaps and milestones, remove blockers, align diverse engineering teams, and drive adoption of platform best practices to deliver scalable autonomy and infrastructure outcomes.

The role involves acquiring new manufacturing clients, building relationships with IT and data leaders, and identifying business challenges to propose data and AI solutions.