Top Machine Learning Jobs in Dallas, TX

The AIOps Architect at McKesson will design and implement AIOps solutions utilizing AI and machine learning to enhance IT operations. The role includes developing architectural blueprints, providing technical leadership, ensuring data integration and compliance, and maintaining operational efficiency and security.

The Senior Cyber Fraud Defense Analyst safeguards the organization against cyber fraud by analyzing threats, identifying vulnerabilities, and implementing defense strategies. This role involves leading investigations, developing fraud detection strategies, mentoring junior analysts, and monitoring detection systems to thwart fraud attempts.

Lead a team of developers to create solutions for regulatory needs, build and maintain data pipelines for machine learning models, develop analytical tools to evaluate model performance, and collaborate with various stakeholders to ensure alignment with business objectives.

As a Senior Machine Learning Engineer, you'll design, develop, and implement machine learning applications across an Agile team. Your responsibilities include building ML models, informing infrastructure decisions, automating tests and deployments, and monitoring existing models. You'll collaborate with cross-functional teams to optimize ML solutions and ensure they follow best practices in Responsible and Explainable AI.

This role involves architecting, designing, and implementing AI and ML functionality for Chewy's customer service technology. The engineer will lead integration efforts, mentor peers, and influence the technical roadmap while driving innovation through iterative development.

The role involves building computer vision models for 3D scans, conducting research on state-of-the-art methods for AI and conventional tasks, collaborating with product teams, and implementing MLOps best practices to enhance Dandy's dental technology solutions.

The Technical Project Manager will oversee project management activities, ensuring timely delivery and successful execution of projects within a consulting environment. Responsibilities include managing timelines, coordinating resources, and using agile methodologies to guide product development and project processes.

The role involves consulting on information security initiatives and projects, acting as a central contact for the Commercial line of business. Responsibilities include coordinating proactive security measures, assessing cyber security risks, influencing security capabilities, and providing updates to leadership.

The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.

The Director of Software Engineering will lead a team in developing cloud-based AI and ML solutions, ensuring project quality and timely delivery. Responsibilities include technical direction, innovation, process improvement, and career development for engineers. The role demands extensive technical expertise and interaction with clients to implement methodologies and technologies.

The Sr. Data Architect at McKesson is responsible for designing and implementing data architecture solutions that support business goals. This role involves collaborating with stakeholders, ensuring data integrity, and driving innovation through advanced analytics and cloud technologies. The architect will manage data design deliverables and tackle complex data-related problems with strategic solutions.

As a Senior Machine Learning Engineer at Capital One, you'll develop and implement machine learning applications, collaborating with teams to produce models and optimize performance. Responsibilities include model design, coding, infrastructure decisions, and maintaining production models. You'll also build cloud-based architectures and ensure best practices in model governance.

As the Senior Director of Technical Program Management at Capital One, you will lead strategic initiatives in the Enterprise Data and Machine Learning division. Responsibilities include overseeing technical project delivery, managing cross-functional teams, and enhancing data management systems. You will leverage your expertise to drive innovative data solutions and develop the TPM practice within the organization.

The Managing Machine Learning Engineer will lead the development of scalable solutions utilizing machine learning for vehicle interactions, establish automated processes for data analysis and model implementation, and drive engineering and product strategy while mentoring and developing engineering teams.

As a Distinguished Machine Learning Engineer at Capital One, you'll lead large-scale ML initiatives, collaborate with cross-functional teams to develop AI/ML use cases, and stay updated with advancements in Generative AI and NLP, while mentoring engineers and driving research to identify new opportunities.

The Kronos Developer will analyze and design solutions for digital transformation initiatives, develop Proof of Concepts utilizing advanced technologies, and support migration to cloud platforms. Responsibilities include system architecture analysis, automation tool evaluation, business process modeling, and documentation preparation. The role requires collaboration with clients and internal teams to ensure efficient digital experience and operational improvements.

The VP of Marketing Sciences oversees analytics strategy and insights for client engagements, leading a team of analysts to optimize marketing efforts across channels. Responsibilities include designing analytic methodologies, developing client roadmaps, enabling data-driven decision-making, and participating in new business pitches.