Machine Learning Jobs in North Las Vegas, NV

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Design and implement Oracle Financials and Hyperion solutions, integrate RPA/ML/analytics, ensure compliance, manage stakeholder relationships, coach teams, and drive strategic outcomes on large, cross-border projects.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

The role involves designing and implementing advanced analytics solutions for healthcare payers, analyzing complex problems, mentoring juniors, and building client relationships.

Provide legal counsel and governance for enterprise AI adoption, monitor global AI and data privacy regulation, draft and negotiate AI and data contracts, support AI policy development, conduct DPIAs, advise on AI risks (bias, IP, employment), and collaborate with cross-functional teams on compliance, incident response, and training.

Lead development of motion planning and prediction ML models for Level 4 autonomous vehicles. Design and productionize behavior models using deep learning, generative AI, and reinforcement learning. Deploy solutions to vehicle fleets, collaborate with perception, simulation, data platform and integration teams, and report progress to leadership.

Lead development of rigorous evaluation frameworks and statistical methods to measure and validate autonomous system performance. Monitor metric reliability, detect drift, identify edge cases, correlate on-road and simulation data, and collaborate with engineering to improve test coverage and launch readiness. Mentor peers, introduce ML for evaluation, and deliver actionable insights to technical leaders.

Lead product ownership of the payment routing engine, intelligence layer, and integration platform. Define roadmap, partner with Engineering, Data Science, Risk, and Fraud to build API-driven connectors, routing logic, failover flows, and ML-based optimization to improve authorization rates, reduce costs, lower latency, and increase resilience at scale.

Lead strategy and roadmap for Payments and Fraud platforms, manage product managers, drive improvements in payment success, fraud mitigation, routing, reconciliation, and real-time monitoring. Align stakeholders across Risk, Compliance, Finance, and Data Science while delivering measurable growth, reliability, and cost reductions.

The Director of Computer Vision will lead technical vision, research, and execution in developing scalable AI-driven computer vision solutions, managing teams, and enhancing performance metrics.

The Machine Learning Systems Engineer will optimize distributed training systems, improve performance profiling, and develop high-performance GPU kernels for machine learning workloads.

Manage distributed machine learning workloads using Slurm and Kubernetes, ensuring cluster operations and mentoring engineers in best practices.

Build and scale ML development infrastructure and Agentic AI tooling. Optimize distributed training (PyTorch/DDP), improve GPU utilization, design multi-cloud Kubernetes environments, and collaborate with ML researchers and engineers to streamline the ML lifecycle.