Top Remote Machine Learning Jobs in Tucson, AZ

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

The Senior Risk Management Analyst will assess and mitigate risk in a merchant portfolio using financial analysis and AI technologies, enhancing underwriting decisions.

The Workday HCM Architect leads the development of HR solutions utilizing Workday AI, Talent Management tools, and enterprise software implementation in collaboration with business and IT partners.

Lead the development and execution of a personalization strategy to enhance customer engagement and retention. Manage a team and leverage AI-driven technology to innovate the customer experience across multiple channels while measuring success with KPIs.

The Engineering Manager leads a team to develop technology solutions for financial advisors, promoting agile practices and collaboration while driving continuous improvement and innovation.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Senior Product Manager, you will develop innovative home-capture products, collaborating with various teams to enhance user experiences and market strategies for real estate.

The Principal Software Development Engineer will lead technical projects within the Rich Media group, focusing on scalable solutions and mentoring engineers, to enhance the real estate buying experience using AI and computer vision.

Lead and develop a team in creating AI/ML solutions for transforming communications in real estate. Drive strategy and implementation of new Generative AI solutions.

Zillow seeks a Principal Applied Scientist to develop multimodal AI technologies for the real estate industry, focusing on computer vision and natural language processing to enhance the user experience.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

Lead the development and deployment of machine learning and generative AI models to enhance customer onboarding processes, utilizing data science techniques and cloud infrastructure.

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.

The VP, AI Enablement will lead strategy and implementation of AI technologies in educational products, drive innovation, and collaborate with stakeholders to enhance learning outcomes.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

As the Engineering Manager, you will lead a product engineering team, influencing technical design, product delivery, and team growth while collaborating across functions and focusing on operational quality in payment solutions.

Lead the development and implementation of ML/AI solutions for AML and Financial Crime, collaborating with teams to optimize workflows and ensure compliance.

The Principal Machine Learning Engineer will improve diffusion models, conduct research, implement techniques, and collaborate on production-ready systems in AI for fashion.

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

The Staff ML Ops Engineer builds and maintains infrastructure for ML applications, ensuring they are robust and production-ready, while collaborating with data scientists and ML engineers.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

The Machine Learning Engineer will develop and deploy models for anomaly detection, process unstructured marketing data, and implement monitoring systems while collaborating with analysts on detection criteria.

Lead research and development of advanced machine learning solutions, optimizing large-scale infrastructure and providing technical guidance on high-impact projects.