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

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

Expand and optimize data pipelines for cross-functional teams, support developers and analysts, implement process improvements, and build analytical tools for business insights.

The Senior Data Platform Engineer will design, maintain, and enhance Hinge's data platform, including data pipelines, monitoring systems, and user feedback incorporation while ensuring data quality and system reliability.

The role involves leading data architecture strategies and driving innovation in data solutions while ensuring compliance with governance policies. Responsibilities include translating data requirements into technical plans, overseeing advanced data technologies, and fostering collaboration among stakeholders.

As a Senior Analytics Engineer, you'll design data systems, implement data warehouses, optimize pipelines, ensure data quality, and mentor stakeholders on data best practices.

The GTM Engineer will innovate and enhance GTM processes at EliseAI by leveraging AI and automating workflows while collaborating across various teams.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

The Senior Analytics Engineer will build and maintain data models, ensure consistent KPIs, and drive self-service analytics, partnering with multiple business teams to enhance data usage.

Design the architecture for a healthcare data ecosystem, ensuring integration of structured and unstructured data for AI use, while maintaining data quality and governance.