Top Remote Artificial Intelligence Data Engineering Jobs

Join the Prophet Staging & Production Team to support financial modeling processes, enhance automation efforts and maintain data integrity using Prophet Enterprise.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

The Senior Data Engineer will design and maintain scalable data pipelines, lead medium-sized platform projects, and ensure reliability of data systems through monitoring and optimization. Responsibilities include working with cross-functional teams to improve data workflows and participate in incident response.

Lead design and delivery of end-to-end Data & AI solutions on Microsoft Azure. Architect AI/ML applications and scalable data platforms, implement data pipelines, integrate models with business workflows, provide technical leadership on projects, support presales, and promote reusable assets and best practices while staying current on emerging AI and Azure technologies.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

As a Data Engineer, you will design database architecture, manage ETL/ELT pipelines, create financial reporting systems, and ensure data quality in collaboration with finance teams.

Lead architecture and design of scalable Data Lakehouse solutions on GCP, collaborating with clients on data challenges and technical requirements, while ensuring data governance and quality.

The role involves recording everyday household tasks using a smartphone or camera to assist in training AI models. Responsibilities include adhering to guidelines and ensuring quality video capture.

Lead the architecture and optimization of our Databricks Lakehouse, ensuring high-quality data for retail analytics while mentoring a team of engineers.

The Founding Platform/Infra Engineer will design and manage infrastructure, improve system observability and CI/CD processes, enhance security, and boost developer efficiency at Coverbase.