Machine Learning Jobs in Richardson, TX

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 Principal, AI Strategy & Governance defines and oversees the enterprise AI strategy, governance, and adoption while partnering with leaders to prioritize AI initiatives.

The Sr Machine Learning Engineer will deploy AI/ML solutions, manage projects, analyze data, and communicate insights to stakeholders.

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

Support product discovery for transit signage by conducting market research, using AI tools to analyze trends, defining product features, building datasets/knowledge bases, and presenting actionable recommendations to cross-functional teams and leadership.

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 Chief Compliance Officer will drive operational excellence and oversee regulatory compliance while managing investment operations and financial oversight.

The CTO will lead technology modernization efforts, drive innovation in cloud computing and analytics, and oversee the transformation of core insurance platforms to enhance customer experiences and business growth.

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.

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 role involves drafting and prosecuting U.S. and international patent applications while working remotely in a technology-focused IP firm.

The role involves drafting and prosecuting U.S. and international patent applications, focusing on technology-related patents in areas like AI and Machine Learning.

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.

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

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 ML Engineer will develop and deploy machine learning models, collaborate with teams, analyze datasets, and improve model performance.

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