Top Machine Learning Jobs in Dallas, TX

Responsible for designing and maintaining security systems, conducting incident response, and collaborating on security solutions within Wells Fargo's network.

The Senior Quant Model Risk Specialist will assess model risks and validate models used in trading and market risk management, develop benchmarks, and collaborate with stakeholders while ensuring regulatory compliance.

Lead and mentor the Enterprise Search and Associate Experience team, design large scale solutions, and integrate advanced technologies in a regulated environment.

As a Data Scientist, you will develop analytical solutions, engage stakeholders, and deploy machine learning applications, influencing business processes.

Lead the design and development of Contact Center AI solutions, manage a team, and enhance customer engagement through innovative strategies.

Manage quantitative analysis and model risk audits, applying machine learning and econometric methods to enhance business strategies and model documentation.

As a Senior Principal Cloud Account Executive, you will lead business development for enterprise cloud managed services, focusing on new client acquisition and executive engagement.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

The Senior Manager, Data Science will lead data analytics initiatives, employing machine learning, statistical methods, and cross-functional partnerships to drive business improvements and generate insights.

As a Senior Associate Quantitative Analyst, you will analyze models, apply machine learning techniques, and collaborate on data-driven insights for business improvement.

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

As a Product Owner, you will define and manage product requirements for AI solutions, bridge business needs with technical execution, manage backlogs, collaborate with stakeholders, and drive product goals to deliver exceptional value.

Manage Trade Promotion Management projects, translating business needs into technical solutions, and leading cross-functional teams to achieve deployment goals.

The Treasury Associate role focuses on collateral management, cash management processes, and engaging with senior personnel while ensuring high accuracy in a dynamic environment.

Lead the design and implementation of machine learning applications in an Agile team, ensuring high performance and availability. Collaborate with cross-functional teams to solve complex problems and manage ML infrastructure.

As a Senior Lead Machine Learning Engineer, you'll design and develop machine learning applications, collaborate with cross-functional teams, and manage ML models at scale.

Design, develop, and deploy AI/ML solutions for 5G network optimization, collaborating on scalable AI systems and mentoring junior engineers.

Manage closed-end fund accounting processes, ensuring timely NAV calculations, developing client relationships, and overseeing a Private Equity team. Responsible for workflow improvements and audit management.

Lead the design, development, and integration of Generative AI applications. Collaborate with cross-functional teams, oversee full-stack development, and establish best practices.

The Principal Engineer will support operations by diagnosing machinery issues, specializing in chillers, generating reports and providing technical support, requiring 15+ years of HVAC experience.

Manage a team providing investor services, handling transactions, reporting, client relationships, and onboarding, ensuring effective communication and compliance.

The Senior Enterprise Architect oversees data and AI architecture, aligning it with business strategies, managing technical governance, and mentoring less experienced architects.

The Senior Product Manager will lead AI product strategy, collaborate with cross-functional teams, and drive product vision and metrics, ensuring ethical AI practices.

The AI Architect will lead AI strategy and implementation, define AI architecture, manage risks, and ensure compliance across the organization.