Machine Learning Jobs in Plano, TX

The Senior Technical Product Manager will design and deliver innovative cloud-based technology products, enabling experimentation and improving engineering practices while collaborating with various stakeholders.

As a Distinguished Engineer, you'll lead technical initiatives in cloud banking, mentor teams, and develop advanced technology solutions while promoting engineering excellence.

As a Distinguished Engineer, you will lead technology solutions in the Servicing Platform space, focusing on modernization, security, performance, and usability while mentoring and influencing engineering teams.

The role manages the vision and roadmap for data products, focusing on data quality, collaborating with technical teams, and driving innovation in data solutions.

Lead model risk audits by reviewing model development, validation, and implementation; partner cross-functionally to build and evaluate ML/NLP solutions using Python, Spark, H2O, and AWS; translate technical findings into business risk insights and drive model risk governance.

Lead the product strategy for the Internal Developer Platform, enhancing developer experience and collaborating with engineering leadership to drive product evolution.

As a Distinguished Engineer, you will build innovative solutions within Capital One's Servicing Platform, mentor other engineers, and promote engineering best practices while collaborating with various teams.

Design, build, deploy, and maintain production ML models and data pipelines at scale. Collaborate with product and data science teams, apply ML best practices, monitor model performance, and use cloud and CI/CD tooling to ensure resilient, governed, and explainable ML systems.

The Senior Manager will lead a team of Data Scientists and AI Engineers, drive AI and ML strategy, and communicate technical insights to stakeholders.

Design, develop, validate, and deploy end-to-end AI/ML solutions for aerospace systems. Lead data collection/preprocessing, model training and optimization, safety risk management, production integration, monitoring, and cross-functional collaboration while ensuring ethical, regulatory, and performance requirements.

This role oversees fraud analytics strategy, drives innovation in risk management, coaches team leaders, and partners with technology and product teams.

Lead Platform & Integrations product strategy focused on POS, payment, and loyalty integrations. Define AI-informed roadmap, gather customer insights, collaborate with engineering, data science, and stakeholders, own integrations and releases, and track metrics to drive personalized, reliable, and automated restaurant experiences.

The role involves managing client relationships, delivering healthcare data analytics solutions, and translating complex insights into clear strategies for stakeholders. Responsibilities include coordinating teams, troubleshooting issues, and developing actionable recommendations based on data analysis.

Lead production of machine learning applications, provide technical expertise, and mentor engineers to drive ML model delivery at scale.

Lead AI solution assessments, partner with business units for feasibility, drive responsible AI governance, and communicate technical findings to stakeholders.

The Predictive Modeler/Data Scientist will analyze data, develop predictive models, and support strategic business decisions through quantitative research and machine learning projects.

The Product Manager leads product development for mainframe software, focusing on customer needs, engagement, and cross-functional collaboration to ensure market success.

Design and develop software solutions, integrate deliverables, troubleshoot and maintain systems while working collaboratively with product owners and customers.

As an Entry Level Machine Learning Engineer, you'll design and implement predictive models, utilizing machine learning and statistical techniques to solve complex problems in a fast-paced environment.

Design, build, and deploy scalable GenAI/ML applications on AWS. Advise customers, gather requirements, lead model training and deployment, optimize performance, manage risks, and mentor colleagues while producing reusable artifacts.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

Lead high-impact AI/ML projects in the automotive domain, overseeing technical strategy, project execution, and client management, while mentoring junior team members.

The Advisor Software Engineer will design and develop software solutions, mentor teams, oversee IT architecture, and adopt emerging technologies while ensuring alignment with customer needs.

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.