Machine Learning Jobs in Plano, TX

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

The Senior Counsel advises on major challenges in the Financial Services sector, focusing on technology and regulatory compliance while collaborating with various teams to support business innovations.

The Lead Machine Learning Engineer will design, build, and productionize ML applications, oversee model performance, collaborate with teams, and ensure reliable deployment of ML systems at scale.

Seeking a Senior Machine Learning Engineer to develop voice assistant solutions using ML and deep learning, optimizing for production environments. Responsibilities include designing ML pipelines, mentoring juniors, and collaborating with cross-functional teams.

The Senior Data Scientist translates business needs into analytics solutions, develops machine learning models, mentors junior staff, and collaborates with engineering for scalable solutions.

The role involves analyzing semiconductor manufacturing data, developing software for data integration and evaluation, and providing insights to enhance client services and products.

As a Machine Learning Engineer, you'll design, build, and maintain machine learning systems, collaborating with cross-functional teams to solve problems and enhance software applications.

The Lead Data Science Product Manager will lead AI initiatives, engage with executives, design AI solutions, and provide overall product leadership.

The Senior Lead Machine Learning Engineer will design, implement, and scale ML applications, ensuring performance and high availability while collaborating with cross-functional 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.

The Business Development Specialist will identify sales opportunities, conduct market research, develop business strategies, and build customer relationships to achieve sales targets in data and AI solutions.

The AI Engineer will prototype AI solutions, advise on integration, manage AI initiatives, and collaborate across technology teams, ensuring alignment with business needs. Roles include monitoring AI trends, engaging stakeholders, and conducting knowledge-sharing sessions on best practices.

The Chief Data Officer will lead the enterprise-wide data strategy, ensuring data quality and governance while driving AI initiatives and business value.

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 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.

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

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.

The Senior Machine Learning Engineer will design and deploy ML models, analyze large datasets using PySpark, and collaborate across teams in a cloud environment.

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

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.

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.