Top AI & Machine Learning Jobs in Austin, TX

The role involves managing client needs through technology solutions, mentoring team members, analyzing complex problems, and using AI/GenAI to enhance productivity and client relationships.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The role involves designing data solutions and analytics roadmaps, leading projects, and ensuring data integrity, while mentoring team members and working closely with clients.

As a Manager at PwC, you will lead AI and machine learning projects, motivate teams, cultivate client relationships, and ensure quality deliverables while fostering innovation.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The GenAI Python Systems Engineer-Manager leads data architecture strategies, mentoring team members and overseeing project execution. The role emphasizes innovation in data integration and collaboration with stakeholders to enhance cloud resources, all while upholding ethical standards and delivering high-quality solutions.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

As a Senior Associate in Data and Analytics Engineering, you will develop AI solutions, analyze complex problems, mentor team members, and build client relationships.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.