Top Machine Learning Jobs in Dallas, TX

The SVP of Client Success will drive growth, retention, and relationship management for healthcare clients, leveraging advanced analytics and team leadership.

The Distinguished Machine Learning Engineer leads engineering teams in developing ML applications and systems, optimizing data pipelines, and mentoring staff while utilizing advanced AI technology in financial services.

Lead the development of machine learning and AI solutions, engage with stakeholders, maintain software algorithms, and enhance processes.

The Lead Machine Learning Engineer designs and implements scalable software and ML solutions, optimizes workflows, conducts evaluations, and collaborates closely with data scientists to enhance the performance of ML algorithms.

The Associate Director Solution Architect will build client relationships, lead IT transformation initiatives, and design GIS solutions while collaborating with sales and technical teams. Responsibilities include advising clients, preparing proposals, and expanding market presence through industry engagement.

The QA Director will develop testing strategies, automate processes, lead remote QA teams, and collaborate across functions to enhance quality and efficiency.

The Data Scientist will leverage statistical and machine learning techniques to analyze data, build models, conduct A/B testing, and collaborate on innovative AI/ML solutions to drive business transformation.

Develop and execute talent transformation strategies for clients, incorporating AI and technology, while leading enterprise-wide change initiatives and driving workforce evolution.

The Global Head of AML Systems will lead modernization efforts for AML Transaction Monitoring, oversee data strategies, and manage a global team.

The Director of Sales Operations will enhance sales functions, develop goals, implement training programs, streamline processes, and utilize data analytics.

The role involves leading data engineering projects, mentoring teams, and designing data solutions using Databricks for enterprise clients.

The Director, Analytics leads analytics strategy and team management, optimizing marketing efforts through data, methodologies, and insights for clients.

As a Senior Data Scientist, you'll develop and deploy data solutions, analyze vast data sets, optimize models, and collaborate with teams to enhance products.

Manage a team of engineers to develop machine learning solutions for vehicle telemetry and speech recognition, ensuring efficient processes and effective communication.

Lead product management efforts to enhance Gartner’s customer experience platform, overseeing product strategy, team guidance, and data-driven decision-making.

The SVP of Product & Product Marketing will lead product strategy, oversee development teams, drive innovation, and collaborate across departments to enhance Acqueon's product offerings.

The Kronos Developer will collaborate with teams to analyze data and enhance business workflows through digital transformation, cloud migration, and process automation.