Top Machine Learning Jobs in Albuquerque, NM

The Sr. Machine Learning Engineer will build tooling and services for ML and generative AI solutions, focusing on deployment, evaluation metrics, and cross-functional collaboration.

The Sr. AI Solutions Engineer will manage customer onboarding for the Agentic AI product, translating workflows, troubleshooting issues, and ensuring client success.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

The Machine Learning Engineer role focuses on predicting and mitigating customer churn, developing retention strategies, and collaborating across teams. Responsibilities include churn analysis, building predictive models, and utilizing data visualization tools to communicate insights.

As a Staff Machine Learning Engineer, you will develop, deploy, and improve machine learning models, analyze data, and collaborate with cross-functional teams to enhance revenue recovery processes.

As a Senior Machine Learning Engineer, you'll enhance productivity in claims management by deploying machine learning models and collaborating with cross-functional teams.

The Founding Lead AI Engineer will design production-grade ML models, lead AI initiatives, mentor engineers, and drive technical execution and standards for a fast-growing AI team.

As a Founding AI Software Engineer, you will design and implement machine learning models to enhance user experience and automate processes in finance, collaborating with cross-functional teams.

As a Full Stack AI Engineer at BJAK, you will build intelligent systems integrating ML models and develop APIs to deliver AI-powered features. Collaborate with cross-functional teams to enhance user experiences in financial services.

Lead AI and machine learning projects, create workflows and models, analyze data from diverse sources, and present insights to non-technical audiences.

The AI & Machine Learning Director will lead machine learning projects, design data workflows, and utilize advanced data analysis and visualization to drive business insights.

Assist in AI/ML research projects, design machine learning models, analyze datasets, collaborate with teams, and communicate findings clearly.

Develop, deploy, and enhance machine learning models and services for Netflix's ad platform to optimize ad personalization and scalability, collaborating with cross-functional teams to drive business impact.

The Principal Machine Learning Engineer will lead the development of AI/ML solutions to enhance user personalization within Yahoo Mail, mentor teams, and drive innovation while maintaining code quality and engineering standards.