Top Python Jobs in Las Vegas, NV

Design and implement machine learning perception systems for autonomous ground vehicles. Work on deep learning models, optimize for edge devices, and collaborate across teams.

The role involves troubleshooting technical issues, building support infrastructure, engaging with open source, and optimizing customer observability setups.

As a Web Developer Team Lead, you'll mentor developers, lead agile ceremonies, and contribute to high-quality web solutions while balancing technical debt and team capacity.

The Senior Software Engineer will enhance borrower-facing experiences, manage APIs, and lead projects, with a focus on B2C loan systems.

As a Technical Recruiter, you'll manage full-cycle recruiting for technical roles, partner with hiring managers, source talent, and improve hiring metrics.

The Machine Learning Scientist will design and evaluate algorithms for media processing, collaborate with cross-functional teams, and expand expertise in computer vision and related fields.

The Backend Engineer will develop web backends and APIs, maintain data applications, and improve workflows for a growing financial data startup.

As a Senior Software Engineer, you will build algorithms, APIs, and custom solutions while collaborating with teams to resolve technical challenges and enhance customer success.

You will lead projects to build custom solutions integrating healthcare data, collaborating with customers and teams, and resolving complex issues.

Design and implement data analysis pipelines for HEOR/RWE studies using SQL and R. Collaborate across teams to ensure research quality and efficiency while generating publication-ready deliverables.

Manage treasury operations for fiat and crypto assets, implement process transformations, support product launches, provide reporting, and collaborate with financial partners.

As a Senior Customer Engineer, you'll provide technical support to enterprise customers, troubleshoot issues, and be hands-on with Python and Kubernetes, collaborating with cross-functional teams to drive product excellence.

The Senior Solution Architect designs and implements AI-driven solutions, collaborates with clients, and leads cross-functional teams to fulfill business needs.

The Senior Product Manager will drive the development of AI-powered tools for customer success, engaging with cross-functional teams and enterprise partners to optimize product performance and user satisfaction.

The Senior DevOps Engineer will manage cloud infrastructure, automate deployment pipelines, and ensure system reliability while collaborating with development teams.

As a Senior Data Engineering Manager, you will lead the data engineering team, develop data platforms, ensure data quality, and collaborate with various teams to drive innovative healthcare solutions.

Lead and build a high-performing team of Forward Deployed AI Engineers. Ensure client success by managing technical implementations and guiding team development. Foster collaboration across product and engineering teams for improved outcomes.

The Senior Infrastructure Engineer will design cloud-native infrastructure, lead modernization initiatives using AWS and Kubernetes, and mentor engineers on best practices.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

Contribute to NVIDIA’s AI Infrastructure by automating datacenter operations and implementing monitoring solutions for large-scale Machine Learning systems.

The Engineering Manager will lead and mentor a backend engineering team, ensuring successful delivery of scalable shipping solutions, defining technical roadmaps, and managing performance while fostering an inclusive culture.

Develop advanced C++/CUDA libraries for AI storage infrastructure, work with Linux kernel internals, and optimize performance in data storage solutions.

Internship providing hands-on experience in cybersecurity, focusing on threat analysis, incident reporting, process improvement, and collaboration in a SOC environment.

The AI Solutions Engineer will build AI workflows, enhance services, partner cross-functionally, analyze metrics, and improve processes.

The Technical Account Manager will manage post-sale customer relationships, drive adoption of AI workflows, monitor success metrics, and lead enablement efforts for enterprise accounts.