Top Artificial Intelligence Data Engineering Jobs in New York City, NY

As a Senior Analytics Engineer, you will design data models and pipelines to enhance decision-making, collaborate across teams, and champion data governance initiatives.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

Lead the data function at Charlie Health, oversee analytics engineering, and embed data science across departments to enhance decision-making and operational insights.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

The role involves owning an LLM safety domain, generating synthetic data, training LLMs, conducting benchmarking, and developing techniques for safer models. Co-author research papers with the team.

As a Senior Applied Machine Learning Engineer, you will develop machine learning solutions, manage project lifecycles, and integrate data into production systems.

As a Data Lead, you will architect and operationalize data platforms, lead cloud migrations, and work with AI engineers to create impactful data solutions across enterprises.

The Data Engineer will create scalable analytics solutions, manage data integrations, report on marketing performance, and develop pipelines using various technologies.

Develop generative models for materials science research, conduct experiments, mentor team members, and publish in top AI/ML venues.

Develop methods for optimizing AI applications, implement automated evaluation systems, and work with clients to adapt tools for various domains.