Top Machine Learning Jobs in Little Rock, AR

As an AI Engineering Intern, you will automate engineering workflows, develop AI agents, and optimize Retrieval-Augmented Generation pipelines, collaborating with teams to enhance efficiency while ensuring data security.

The Principal AI Forward Deployed Engineer drives AI adoption and implementation at enterprise accounts, advising senior finance stakeholders and managing AI use cases and change management strategies.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

Lead end-to-end design and registration of agricultural soil carbon projects, interpret and implement VCS methodologies, design soil carbon sampling and GHG measurement strategies, prepare and defend project documentation, embed methodological rigor into products and processes, train staff, advise leadership on risk and strategy, and represent Perennial in registries and industry forums.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The Embedded ABM Manager will execute account-specific marketing plans, develop technical fluency in the platform, engage stakeholders, and refine ecosystem intelligence to optimize sales processes.

Lead the strategic direction of data science at Mission Lane, innovating machine learning applications and managing a high-performing team to enhance financial outcomes.

The VP of Client Development will lead InMobi's growth strategy within the OEM and Telco sectors, establishing executive partnerships, joint business plans, and aligning product innovation to maximize market opportunities. The role requires extensive experience in enterprise partnerships and strategic business development with global technology leaders.

Lead a team to enhance Cengage Learning Platforms by implementing AI-first strategies, improving software delivery processes, and ensuring product quality.

The role involves acting as a technical advisor for clients, driving product adoption and implementation of the Moloco Commerce Media platform, providing training, and collaborating with teams to enhance solutions based on client feedback.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Lead the development of AI-powered tools and products, manage product roadmaps, collaborate cross-functionally, and drive innovation in media and advertising.

Manage post-sale customer relationships, drive product adoption, ensure customer satisfaction, and handle escalations for public sector clients.

The Staff Technical Program Manager will lead complex product development programs, manage schedules, communicate risks, and advocate for changes required to address business shifts, while influencing teams and stakeholders through various initiatives and maintaining program metrics.

Lead engineering teams for WordPress, Hosting, and Security at GoDaddy, managing strategy, quality, and organizational growth while collaborating with product management and technology leaders.

As a Senior Technical Recruiter, you will own full lifecycle recruiting for specialized technical roles, ensuring quality and speed throughout the hiring process.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

The Head of Account Management will lead a high-performance team and manage key enterprise accounts, focusing on client outcomes, revenue growth, and operational efficiency in fraud prevention and compliance.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Strategic Account Executive will manage sales strategies, build customer relationships, lead account planning, and drive business outcomes in enterprise software sales, specifically targeting Fortune 500 accounts.

The Director of Product will lead the Insurance Vertical, developing AI-driven data products for insurers, focusing on risk intelligence and fraud detection.

The Senior Software Engineer will design, develop, and integrate tools for CNO development, collaborating with stakeholders to deliver solutions and support operational tools involving AI technologies.