Machine Learning Jobs in Plano, TX

Responsible for troubleshooting and resolving complex 4G/5G network issues, conducting root cause analysis, mentoring the NOC team, and implementing AI diagnostic tools to enhance network stability.

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.

Responsible for delivering cybersecurity solutions, driving product vision, managing technical teams, and improving the Data Protection program. Requires deep technical knowledge in Data Loss Prevention and product management.

The role involves providing strategic legal advice on complex issues related to financial services, collaborating with stakeholders, and ensuring compliance with regulations.

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.

The Senior Machine Learning Engineer will design and implement ML applications, optimize ML models, and collaborate with cross-functional teams to solve business problems using ML.

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.

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.

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

The Senior Data & AI Solutions Architect leads the design and deployment of cloud data platforms and AI solutions, collaborating with clients and internal teams to modernize data architectures and drive AI adoption.

As a Senior Principal Machine Learning Engineer, you'll lead technical projects, mentor teams, and implement ML systems, focusing on AI in AEC solutions.

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

The Senior Product Manager will lead mainframe foundational products, collaborating with teams to develop the product vision, roadmap, and feature prioritization, while ensuring customer adoption and satisfaction.

The Senior Product Owner leads product development for Mainframe solutions at Broadcom, collaborating with cross-functional teams to deliver features based on customer needs and product roadmaps.

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

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

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

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

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

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.