Machine Learning Jobs in North Las Vegas, NV

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.

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.

The role involves managing client needs through technology solutions, mentoring team members, analyzing complex problems, and using AI/GenAI to enhance productivity and client relationships.

As a Senior Manager, you will lead finance transformation efforts, assist with Oracle implementations, manage teams, and ensure client satisfaction.

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.

As a Manager in the Finance team, you will support clients in their Finance Transformation using Oracle Cloud ERP and EPM, providing problem-solving, coaching, and analysis to enhance their financial functions with new technologies.

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.

As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.

Own Jerry.ai's organic presence across Reddit, Quora, YouTube, and TikTok. Build community playbooks, grow subreddits, scale authentic engagement (using AI where helpful), collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

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 Lean transformation initiatives and AI coordination to enhance process excellence across multiple business functions, coaching teams and ensuring integration with operational standards.

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

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

Deploy, maintain, and debug real-time computer vision and ML pipelines on-prem at client sites. Train and tune deep learning and classical ML models, optimize low-latency inference with PyTorch/ONNX/TensorRT/Triton, build data/labeling pipelines, and collaborate with customers and partners.

As a Staff Machine Learning Engineer, you will lead architecture and technical strategy for ML systems, drive multi-functional projects, and mentor engineers while ensuring excellence in ML design and deployment.

The Machine Learning Engineer will develop and manage production ML systems for renewable energy deals, focusing on user feedback and model performance.

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

The VP Revenue Data Science leads revenue strategy and data science, developing pricing models, predictive analytics, and optimizing revenue through data-driven insights.