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

This role involves leading data architecture strategies, collaborating with stakeholders, and implementing advanced data technologies to drive business growth at PwC.

The role oversees multi-asset trading, manages index operations, develops AI infrastructure, and maintains portfolio analytics, requiring a strong technical skill set.

The Solutions Consultant will support the implementation and QA of SDK and API integrations, assist clients with technical issues, and contribute to the development of demo environments and technical resources while gaining experience in data infrastructure.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

The Data Engineer will design and build scalable data systems, support AI/ML integration, and collaborate across teams for the development of Canoe's Alts Data Platform.

As an Applied Research Engineer, you will drive the development of NLP systems, analyze data, collaborate with teams, and ensure efficient model integration.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

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

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