Machine Learning Jobs in Plano, TX

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.

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.

The Business Operations Analyst is responsible for driving efficient operations through data analytics, process improvement, and automation in the finance sector.

The role establishes digital strategies to accelerate transformation, requiring a strong architectural background and extensive technical leadership in global environments.

The Product Manager leads product development for mainframe software, focusing on customer needs, engagement, and cross-functional collaboration to ensure market success.

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

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.

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.

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

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.

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.

As Machine Learning Tech Lead, you will design and implement AI solutions, manage projects, oversee code quality, and mentor team members while ensuring compliance and fostering a collaborative environment.