Top Machine Learning Jobs in Dallas, TX

The role involves analyzing and advising clients on finance management and strategy, enhancing their finance functions, and leading business growth initiatives.

As a Manager of Quantitative Analysis, you will lead model audits, apply machine learning and statistical methods to enhance modeling practices, and communicate insights effectively across teams.

The VP of Field & Network Analytics will lead analytics strategies to enhance network performance, optimize resources, and improve service delivery, utilizing AI and machine learning.

Lead the design and development of AI-driven systems, collaborate on projects, mentor engineers, and optimize AI models for production use.

Lead the design and implementation of advanced security solutions, collaborating with teams to enhance security capabilities and resolve complex vulnerabilities.

The Product Owner II drives product strategy and prioritizes features for AI-enhanced underwriting. Collaborates with stakeholders to optimize customer experience and ensure regulatory compliance.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

This role involves leading the vision and strategy for data products, collaborating with cross-functional teams, and ensuring data quality while managing the product lifecycle.

Lead technical AI and ML programs to develop large-scale products and platforms, mitigating technical risks and fostering collaboration across teams.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

As a Director in AI engineering, lead the design and deployment of machine learning models, drive strategic AI initiatives, and mentor teams to foster innovation and business growth.

In this role, you'll design and implement machine learning models, collaborate with teams, and maintain ML applications, focusing on AWS infrastructure and best practices.

The role involves leading data strategy, overseeing ML engineering practices, managing teams, and driving modernization initiatives for data analytics and business insights solutions.

Lead the design and implementation of AI-driven workflows and automation solutions to improve operational efficiency and customer experience in healthcare.

As a Senior Application Development Consultant, you will collaborate on solutions for business problems, utilizing various technologies and leading development projects.

The Director of Business Operations & Strategy will lead the scaling of Jerry's insurance business and drive automation and strategy to achieve critical outcomes while collaborating with various teams.

As a Business Operations Associate, you'll drive data-driven strategies, conduct analyses, optimize processes, and lead experiments to support growth initiatives.

As a Senior Associate in Business Operations, you'll drive data-driven decisions for growth and operational efficiency, collaborating with multiple teams.

As a Data Scientist, you will leverage machine learning to analyze data, automate processes, and provide insights for business growth strategies.

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

The Principal Software Engineer will lead the development of software solutions, mentor teams, and engage with clients on technological innovations, particularly in AI and cloud platforms.

The Senior Architect will lead software engineering projects, mentor teams, and help clients modernize their technology stack using innovative software solutions and AI-driven capabilities.

The Associate Director will manage the eDiscovery consulting team, oversee projects, and improve processes while advising on cutting-edge eDiscovery technologies.

The Head of Data Science will lead and develop strategic AI/ML initiatives, mentoring teams, managing budgets, and collaborating with C-suite executives to drive business outcomes and innovation in data science.

The Head of Decision Sciences leads analytics and AI initiatives, guiding a team to enhance marketing strategies through data-driven insights and innovations. Responsibilities include developing strategies, collaborating with clients, and fostering team growth.