Top Remote Machine Learning Jobs in Tucson, AZ

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

Lead product management for an ML-driven CAD prosthetic design system, managing product lifecycle, strategy, and cross-functional collaboration.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

The Senior Technical Account Manager ensures customer success by managing technical relationships, advocating for customer needs, and providing solutions for optimal use of the Genesys platform.

The Senior Technical Account Manager will enhance customer success through technical guidance, risk management, and relationship building while utilizing Genesys Cloud platform effectively.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Lead GenAI/AI initiatives by collaborating with cross-functional teams to identify opportunities, ensure ethical practices, and develop scalable solutions. Communicate effectively with stakeholders and support successful project transitions into products.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The Head of Disputes & AI Operations will lead Casap's dispute strategy, leverage AI to optimize processes, and ensure customer success while overseeing a high-impact team.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

Design, build, and own automation systems that enhance Valimail's go-to-market strategies. Collaborate cross-functionally to implement data-driven workflows and improve revenue outcomes.

The Research Scientist will conduct studies on natural language processing and machine learning, transition models to production, conduct experiments, publish research, and create new models to enhance products.

Lead AI development at Bloomerang, overseeing product strategy, managing teams, ensuring ethical AI practices, and integrating innovative AI solutions for nonprofits.

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 Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

The Marketing Analyst develops data visualizations and executive dashboards, utilizes machine learning for customer insights, and collaborates with teams to drive strategic decisions.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Lead the analytics strategy for Yahoo Mail, overseeing product engagement and retention. Manage a data science team, design experiments, and provide insights to inform product development.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.