Machine Learning Jobs in Irving, TX

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

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

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 Director of Marketing Automation Data Analytics will lead initiatives in marketing data science, campaign performance measurement, testing, and analytics, driving strategic insights for multi-channel marketing efforts and fostering cross-functional collaboration.

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.

Design, develop, and deploy AI-driven applications using Generative AI and LLMs. Manage projects from conception to deployment and ensure compliance with regulations.

Design, build, and operate cloud-based MLOps capabilities. Develop production-ready ML pipelines and collaborate with teams on AI solutions.

The Senior Software Engineer will lead data engineering initiatives, design scalable web services, and mentor teammates while ensuring technical alignment with business goals.

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

The intern will assist with AI and data analytics projects including building machine learning models, conducting exploratory data analysis, and supporting technical documentation.