Top Machine Learning Jobs in Dallas, TX

We seek a Cyber Threat Hunter skilled in AI and ML to identify and mitigate cyber threats. Responsibilities include analyzing data for anomalies, developing threat detection strategies, and collaborating with incident response teams.

Develop and integrate AR applications using machine learning for enhanced user interactions on Android and iOS. Lead projects, mentor colleagues, and innovate in AI-driven AR technologies.

Lead and enhance engineering practices, manage staffing and growth, recruit talent, and ensure alignment with business strategies and operational excellence.

The Senior Analytics Engineer will implement and manage AI-enabled contract lifecycle systems, optimize databases, develop AI models, and ensure data integrity and governance.

Design and develop complex full stack applications, mentor junior engineers, and lead critical technical projects while optimizing software solutions with AI and machine learning.

Oversee middle office trade support activities, mentor junior staff, ensure reconciliations are completed, and improve processes using technology.

The Private Equity Supervisor manages fund accounting tasks, oversees a small team, and ensures high-quality client service and timely reporting, while improving workflows and processes.

The Private Equity Intern assists with quarterly NAV production, investor P&L allocations, capital processing, reconciliations, and financial statement preparation under supervision.

As a Software Engineer - ML Performance, improve the performance and stability of AI models, optimize API for internal applications, and support the research team with model production.

The Senior Specialty Software Engineer will lead complex projects, ensuring quality, security, and compliance. Responsibilities include designing and coding applications, conducting research, and providing technical support for AI/ML solutions and rule engine technology. The role emphasizes collaboration with teams to integrate AI functionalities and optimize performance.

This Internship role involves working on machine learning projects where candidates will apply their programming skills, tackle data processing, and collaborate in a team to develop and evaluate models.

The Data Engineer will build and maintain data components for business needs, focusing on ETL flows, data platforms, and collaboration with teams. Key responsibilities include API development, data transformation, and MLOps.

The Machine Learning Engineer will develop MLOps platforms, manage model deployment, collaborate with teams, and ensure compliant operational efficiency for AI solutions.

Lead AI and machine learning projects, developing innovative solutions using Generative AI and Google Cloud, while collaborating across teams to improve products.

The role involves overseeing machine learning model lifecycles, managing CI/CD pipelines, optimizing cloud infrastructure, and mentoring junior engineers.

The Practice Director will lead a team in delivering strategic expertise in Data Engineering and AI/ML, focusing on practice growth, engagement management, and client satisfaction while mentoring and developing team members.

Lead Machine Learning Engineer responsible for developing and implementing advanced machine learning models for cybersecurity. Mentor junior engineers and collaborate with cybersecurity teams to enhance security measures.