Top Machine Learning Jobs in Dallas, TX

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.

The Middle Office Manager oversees trade capture, valuations, and break resolution while managing client relationships and participating in development initiatives.

The Lead Product Manager will drive the personalization strategy for Scribd's platform, overseeing recommendations, metrics, and algorithm integrations while collaborating with cross-functional teams to enhance user engagement.

The Solutions Advisor enhances customer operations through supply chain solutions by providing strategic insights, coordinating with teams, and demonstrating product value.

As a Data Scientist at Jerry, you'll leverage machine learning and data analysis to influence growth strategies, partner with various teams, and conduct A/B testing to optimize business initiatives.

The Director of Business Operations & Strategy will scale the insurance business, enhance user experience and ensure carrier success, reporting directly to the VP of Insurance Operations.

As a Senior Associate in Business Operations, you will utilize data-driven strategies to enhance company initiatives, drive user acquisition, and improve operational efficiency through analysis and experiments.

As an HR Researcher at Jerry.ai, support the employee lifecycle from onboarding to communication management while helping to enhance company culture and optimize HR processes.

As a Business Operations Associate, you'll analyze data to guide business strategies, design A/B tests, and enhance user acquisition and operational efficiencies.

The Lead Full Stack Application Development Engineer will develop AI systems, creating robust applications using various technologies while ensuring adherence to security standards and efficient SDLC processes.

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

The Director of Engineering will lead the architecture and engineering teams, ensuring high performance, driving innovation, overseeing data infrastructure, and aligning data strategy with business goals.

As the Head of Digital Critical Asset Management, lead the vision and delivery of digital solutions for Strategic Capacity Management, optimizing space and power usage through automation and data analytics.

Seeking a VP of Data and AI to lead AI/ML strategy, manage projects, and ensure data pipeline quality while mentoring a team.

Responsible for managing teams to drive analytics and strategies for risk management and fraud control, exploring AI solutions for authentication.

The Enterprise Account Executive will manage the complete sales cycle, focusing on Fortune 1000 executives to drive adoption of AppZen's solutions, ensuring solid strategy and territory planning to meet sales quotas.

The Middle Office Associate will perform trade support, manage client relationships, and handle cash and collateral management for hedge fund and private equity clients.

Lead the CVS Health Automation COE, driving strategy for automation technologies, managing teams, vendors, budgets, and fostering innovation in automation processes.

The SVP will develop and implement a comprehensive fraud program, leading a team to mitigate fraud risks and optimize operational efficiency while ensuring exceptional customer experiences.

As a Design Technology Data Scientist, you will lead innovative solutions in data analysis and machine learning, collaborating with teams to improve design processes and insights.

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

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.