Machine Learning Jobs in Richardson, TX

The Senior Technical Product Manager will design and deliver innovative cloud-based technology products, enabling experimentation and improving engineering practices while collaborating with various stakeholders.

Manage technology risk for Cloud Platforms, support risk initiatives, influence stakeholders on tech risks, and enhance risk programs.

Lead and develop a high-performing data engineering team, create scalable data solutions, and champion AI within data engineering while collaborating with cross-functional teams.

As a Data Scientist, you will develop AI/ML solutions for customer-facing applications, partnering with cross-functional teams to deliver innovative products and improve customer experiences based on vast data insights.

The Lead Platform Engineer leads the technical design and execution of AV and UC platforms, ensuring operational excellence through DevOps practices and innovative technology integration.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

The Kronos Developer will analyze business needs, support digital transformation, and design solutions for cloud and process automation using various technologies.

Design and develop software solutions, integrate deliverables, troubleshoot and maintain systems while working collaboratively with product owners and customers.

As an Entry Level Machine Learning Engineer, you'll design and implement predictive models, utilizing machine learning and statistical techniques to solve complex problems in a fast-paced environment.

Lead the design and implementation of machine learning models for 3D data retrieval and representation, optimizing processes and mentoring teams.

The Lead Data Science Product Manager will oversee AI projects, engage stakeholders, design solutions, and provide leadership to teams in HCSC's AI Lab.

Lead Software Engineer responsible for designing and implementing software solutions, overseeing IT architecture, managing teams, and ensuring application performance and security.

The role manages teams developing strategies to understand risks, optimize performance, and drive analytics for fraud prevention, while building relationships across departments.

As an Innovation Analyst at GEICO, you will analyze and optimize claims processes, collaborate with cross-functional teams, and aid in implementing innovative technology enhancements to improve efficiency and customer experience.

As a Machine Learning Engineering Intern, you will analyze impacts of AI technologies on memory systems, develop workflows, and collaborate on innovations.

Lead the Mobility team in creating machine learning solutions, manage engineering staff, and drive product strategy and development.

The VP of Data and AI at Ziosk will lead AI and machine learning initiatives, manage teams, oversee data governance, and collaborate across departments for impactful solutions.

The Sr Data Engineer coordinates with divisional analytics teams to define and execute data strategies, develop data assets, and manage stakeholder communication.

The AI Solutions Senior Consultant manages AI project delivery, develops client relationships, mentors juniors, and contributes to business development in AI consulting.

Design and implement machine learning solutions, write clean code, and collaborate with teams to build scalable ML systems for real-world applications.

The role involves conducting research, developing advanced algorithms, and building machine learning models, particularly in speech recognition and natural language processing.

The role involves building and maintaining MLOps pipelines, collaborating with teams to deploy ML models, and ensuring high performance of ML services.

The Principal Product Manager will lead the AI Infrastructure team to develop AI/ML platforms, ensuring scalability, security, and alignment with business goals, while mentoring team members and driving innovation in AI technologies.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

Lead high-impact AI/ML projects in the automotive domain, overseeing technical strategy, project execution, and client management, while mentoring junior team members.