Machine Learning Jobs in Irving, TX

The role leads the development of anti-money laundering detection functions and operational risk practices, overseeing models and project management in financial crime risk management.

As an IT Audit Senior Manager, you will lead complex technology audits, assess risks, drive solutions for business improvements, and manage audit teams.

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.

As the Applied AI/ML VP, you will design data science solutions, engage with stakeholders, and coach team members to improve operational efficiency and risk reduction in global private banking.

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.

The AIRS Solutions Specialist defines and executes the go-to-market strategy for AI security solutions, enhancing customer adoption and engagement by collaborating with teams and showcasing technical capabilities.

The IT Audit Senior Analyst will conduct complex technology audits, develop risk hypotheses, evaluate business systems using automation tools, and mentor junior team members while ensuring compliance and improving controls.

As a Principal AI/ML Engineer, you'll develop and implement AI methodologies, collaborate with partners, and optimize strategies for Fidelity's investment business.

As a Machine Learning Intern, you'll assist in implementing machine learning algorithms, managing data, and evaluating model performance, while collaborating with teams.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

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.

Pioneering machine learning solutions for the defense sector, developing and deploying production-grade ML models, tackling complex data challenges, and collaborating with engineers.

The role involves designing and developing machine learning models, collaborating with teams to implement scalable solutions, and maintaining production-quality code.

As a Lead Machine Learning Engineer, design and maintain scalable ML solutions, optimize workflows, evaluate model performance, and collaborate with cross-functional teams to integrate complex data-driven applications, ensuring high reliability and performance standards.

The role involves overseeing machine learning model lifecycle, optimizing performance, managing CI/CD pipelines, mentoring junior engineers, and ensuring security best practices.

The ETL Developer will design and optimize data integration pipelines, leverage AI/ML technologies, and collaborate with teams to ensure data accuracy and efficiency.

Design and implement machine learning solutions, write clean code, and collaborate with teams to build scalable ML systems for real-world applications.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

As a Machine Learning Engineer, you'll build and iterate ML products, develop recommendation systems, analyze experiments, and collaborate with product and data teams.

The Senior Engineer will innovate and develop AI/ML solutions using Java to enhance customer experiences and exceed expectations.