Machine Learning Jobs in Irving, TX

The role involves establishing AI governance frameworks, assessing AI maturity, advising senior leadership on AI initiatives, and ensuring compliance with regulations.

Lead the design, development, and implementation of machine learning and statistical modeling solutions. Oversee teams, ensure compliance, and foster collaboration across departments for data-driven initiatives.

As a Data Scientist in the Innovation Team, you'll develop machine learning algorithms on molecular sequencing data to enhance cancer diagnostics and treatment, collaborating with diverse experts on high-impact projects.

You will develop innovative data science solutions, including LLM-based agents and predictive models using machine learning on complex datasets.

The role leads application systems analysis and programming, drives architecture strategy, evaluates technologies, and influences senior stakeholders in the investment domain.

Lead AI project management efforts, focusing on data-driven initiatives, fostering relationships, evaluating problems, and ensuring project success while monitoring AI trends.

Lead the design and implementation of data science solutions, leveraging machine learning and AI to drive business outcomes, while mentoring and guiding a team of data scientists.

The role focuses on developing advanced React-based user interfaces for Credit Risk applications, integrating AI innovations, and collaborating with cross-functional teams to enhance user experience and performance.

The Lead AI Engineer will manage AI/ML model production, ensure deployment pipelines, mentor teams, and enhance AI systems with innovative technologies.

The MLOps Engineer will operationalize and scale AI/ML applications, manage CI/CD pipelines, develop ML pipelines, and collaborate closely with data scientists and ML engineers.

Design, build, and deploy scalable AI and machine learning solutions, leading full AI lifecycle, collaborating with teams, and ensuring systems align with client needs.