Machine Learning Jobs in Tempe, AZ

The Senior Fraud Risk Manager oversees enterprise fraud risk activities, assesses fraud strategies, and ensures compliance with regulations while promoting risk awareness across departments.

The VP of Early Detection at Caris leads product development in cancer diagnostics, overseeing strategy, market analysis, branding, and collaboration with stakeholders while ensuring regulatory compliance.

Develop and optimize predictive models for credit and risk, leveraging advanced machine learning techniques to improve accuracy and decision quality.

Seeking a Full Stack Engineer to support ILEAP Avast migration, focusing on Java development, AI tools, and cloud technologies, working on multiple projects.

The Senior Director of Risk Data Science will lead a large team of data scientists to develop advanced fraud prevention measures using AI and machine learning. This role is responsible for setting strategic vision, deploying ML models, and ensuring their performance in a high-stakes environment.

The Director leads the Data Platform, optimizing strategies and processes, managing projects, and driving AI innovation for data analytics and BI enhancements.

The Principal Solutions Advisor provides strategic guidance on supply chain solutions, leads a team, and ensures successful delivery of solutions tailored to client needs.

The Senior Machine Learning Engineer will develop advanced fraud prediction models, utilizing anomaly detection and supervised learning techniques to enhance fraud prevention efforts and collaborate with cross-functional teams to integrate these models into the organization's systems.

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

As a Senior ML Engineer, you'll develop scalable solutions for Carvana's communication platform, focusing on machine learning and data integration, while collaborating with data science and product teams for continuous innovation.

Lead DevOps initiatives to enhance microservice infrastructure, mentor engineering teams, and manage production issues, with a focus on security and automation.

The Sr. Manager leads compliance in Credit Risk and Fair Lending, ensuring responsible lending practices through risk assessment and collaboration with various teams.

Lead the design and development of data platform systems for AI and ML products, focusing on scalable infrastructure and technical direction.

Design, develop, and deploy AI systems and applications for marketing and advertising, focusing on real-time inference and intelligent automation.

The Senior Machine Learning Scientist will develop LLM and CV models, mentor junior scientists, and advance AI technologies applicable to law enforcement.

Lead the development and optimization of machine learning models, oversee data analysis, deploy solutions, and mentor junior staff while driving strategic vision for ML initiatives.