Top Remote Machine Learning Jobs in Tucson, AZ

Lead the development of credit risk models, collaborating with consultants and technology teams, and implement LLM-based agents for dynamic decision-making.

The role involves developing, deploying, and scaling AI and machine learning models, ensuring security, compliance, and performance optimization while collaborating with engineering teams.

The Data Science Engineer will develop machine learning models, optimize performance, collaborate with teams, and stay updated on ML trends.

The Senior Machine Learning Engineer will build and operate ML systems, manage the model lifecycle, and mentor team members while ensuring sustainability data accuracy.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, optimize model performance, and collaborate with cross-functional teams to integrate AI capabilities into products.

The Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

Responsible for deploying, validating, and improving machine learning solutions, building data pipelines, and collaborating with teams to ensure business value.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.