Top Python Jobs in Las Vegas, NV

The Product Detection Engineer will research and develop software fingerprints, consult on data improvements, and support security detection processes, ensuring critical vulnerabilities are monitored.

Lead design and implementation of AI models in credit card processes, ensuring compliance and optimizing system performance. Collaborate with various teams for effective deployment and impact assessment of AI solutions.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

The role involves designing and maintaining data infrastructure for robotics, optimizing GPU utilization, and collaborating with researchers on advanced data technologies.

The GenAI Product Engineer will manage AI Hub technical work, design solution architecture for AI PoCs, and lead development tasks.

The Sales Engineer II role involves delivering customer-focused pre-sales activities, providing technical expertise on IAM solutions and collaborating with sales teams to engage customers effectively.

The Senior Manager will build and audit financial models for tax equity transactions, support investment analyses, and engage with clients, requiring 4 years of experience in structured finance or renewable energy.

The Technical Recruiter will lead end-to-end recruitment for engineering roles, build recruiting processes, improve candidate experience, and support engineering leadership with hiring strategies.

Design high-performance C++ libraries for automated PCB design challenges, mentoring peers and shaping technical direction while collaborating with experts in various fields.

The Director of Engineering leads technical projects, oversees engineering teams, and drives operational excellence, focusing on innovation and AI-powered solutions for patient care.

Develop, optimize, and deploy scalable ML solutions for content decisions at Netflix, utilizing advanced ML techniques and collaboration with teams.

The AI Solutions Engineer will work with ML teams, advising on GenAI/ML best practices, conducting demos, strategic reviews, and partnering with sales and product teams to drive customer success and product development.

The Senior Data Scientist will own investigation and analytics to combat blockchain fraud, developing models and visualizations for law enforcement agencies. Responsibilities include collaborating with engineers, staying updated on blockchain developments, and establishing best practices for data-driven decision-making.

The Database Administrator will manage SQL Server and PostgreSQL platforms, ensuring reliability, performance, security, and lifecycle management through various maintenance tasks and collaboration with other teams.

As an Optimization Scientist, you will leverage AI and mathematical modeling to develop and deploy optimization models in collaboration with interdisciplinary teams, ensuring efficiency and scalability for real-world problems.

As a High Resolution Pipeline Software Engineer at Planet, you will enhance data quality and latency of satellite imagery, optimize processing pipelines, collaborate with cross-functional teams, and troubleshoot data quality issues.

The role involves designing, developing, and maintaining backend services and cloud infrastructure, mentoring junior engineers, and collaborating across teams to optimize scalable solutions.

The Business Analyst will build scalable financial models, conduct complex data analyses, and provide data-driven insights for strategic planning and decision-making.

The Principal MLOps Engineer will develop, optimize, and deploy ML systems, focusing on training pipelines and fine-tuning LLMs, while collaborating across teams and mentoring junior members.

The role involves designing and maintaining backend services and cloud infrastructure, mentoring engineers, and driving technical strategies aligned with business objectives in AI solutions.

The Principal MLOps Engineer will architect scalable ML systems, establish MLOps best practices, and mentor engineers on emerging trends while optimizing ML performance.

As an Optimization Scientist, you will design and implement optimization models, collaborate with teams, and communicate findings effectively to solve complex problems.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Senior Data Scientist will develop machine learning models, collaborate with cross-functional teams, and help improve credit risk assessments to drive business growth.