Top Machine Learning Jobs in Phoenix, AZ

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

The Linguistic Quality Manager devises and maintains quality standards, overseeing quality processes and guiding a contingent workforce. Responsibilities include monitoring tools and services, improving processes, consulting with teams, and supervising projects.

As a Digital Contact & Services Senior Associate at PwC, you will leverage advanced analytics to drive insights from large datasets, lead engagements on Contact Center AI solutions, manage end-to-end solution lifecycles, and collaborate with clients to align strategies and regulatory requirements. You'll manage teams, enhance operational efficiency, and utilize skills in natural language processing and machine learning to address complex business challenges.

As Vice President of Product Management at FourKites, you will oversee AI portfolio management, lead a team of data scientists and engineers, define product strategies, and work cross-functionally to deliver AI-driven solutions for global supply chains.

The Principal AI Product Manager will lead the development of AI-driven solutions for workforce management, enhancing employee experiences in recruitment, support, and skills training. This role involves collaborating with various teams, conducting user research, defining AI use cases, and ensuring ethical compliance of AI products, while driving business value through product strategy and stakeholder engagement.

The Support Operations Program Manager will focus on deploying AI technology within the Support ecosystem, working with various departments to execute critical AI projects. Responsibilities include driving AI strategy, overseeing deployment initiatives, optimizing customer and agent processes, and tracking performance metrics.

As a Senior Associate in the Data and Analytics team at PwC, you will enhance client processes using RPA and AI/ML technologies, analyze complex problems, mentor team members, and build relationships with clients. The role requires a thorough understanding of the telecom field service sector and involves managing technician logistics and back-office processes.

As a Sr. Cloud Support Engineer, you will support customers in implementing SailPoint's IdentityNow product, resolving complex technical issues, and collaborating with internal teams. You'll manage an increasing number of support tickets and contribute to customer satisfaction and knowledge sharing.

The Vice President of Product Management, Data and AI/ML at Workiva leads the product strategy for data-driven platform and AI solutions. This involves overseeing product management teams, driving product innovation, aligning product capabilities with company vision, and fostering stakeholder relationships. The VP also focuses on building high-performing teams and ensuring alignment of product development with customer needs and organizational goals.

As the Principal Product Manager, Mobile, you will develop and scale Upstart's first mobile app, focusing on financial stability for high-risk customers. You will collaborate with engineering and design to launch features, advocate for customer experience, and influence other PMs through best practices in product management.

The Senior Director of Product Marketing will drive Augury's Go-To-Market strategy, focusing on value realization and competitive differentiation while building a high-performing Product Marketing team. Key responsibilities include market positioning, launch strategy, customer insights, sales enablement, cross-functional collaboration, and program management to ensure effective product marketing initiatives and innovation.

The Senior Machine Learning Engineer will design and build large-scale ML systems for Dropbox’s AI search and organization features. Responsibilities include collaborating with teams to deploy models, contributing to technical strategies, and integrating advancements in AI into Dropbox products.

As a Machine Learning Software Engineer, you'll collaborate with a Data Science team to support R&D and machine learning projects, designing and optimizing software features. Engage with advanced technologies to create robust software solutions in a fast-paced environment.

As a Sr. Machine Learning Engineer at CrowdStrike, you'll innovate with machine learning technologies, build scalable ecosystems, create backend microservices, and maintain data pipelines while collaborating with various teams to implement effective cybersecurity solutions.

As a Machine Learning Engineer at Peloton, you will enhance content recommendations by optimizing ML pipelines, researching best practices in ML techniques, and collaborating with cross-functional teams to run experiments and analyze data, ultimately driving member engagement.

As a Lead Machine Learning Engineer, you will build deep learning models for accurate bidding decisions, collaborate with ML and software engineers, and design scalable and efficient systems using various data sources and technologies.

The Director of AI and ML will lead the development of a machine learning platform and AI solutions at Spring Health. Responsibilities include building and managing a team, shaping AI and ML strategy, overseeing platform development, and fostering collaboration across units.