Senior Ai Data Engineer

Seeking a Senior AI Data Engineer to ensure reliability and accuracy of AI Agents through evaluation and validation. Responsibilities include strategy, LLM output assessment, dataset creation, pipeline automation, and root cause analysis.

Seeking a Senior AI Data Engineer to ensure reliability and accuracy of AI Agents through evaluation and validation. Responsibilities include strategy, LLM output assessment, dataset creation, pipeline automation, and root cause analysis.

Description Fluent is building the next generation advertising network, Partner Monetize & Advertiser Acquisition. Our vision is to build an ML/AI first network of advertisers and publishers to achieve a common objective, elevating relevancy in E-commerce for everyday shoppers. As a Data Engineer on Fluent's Data Engineering team, you will

Data Engineer to design and implement scalable data pipelines, integrate Azure services, and support AI solutions. Requires 3-5 years of experience with SQL, Python, and ETL/ELT.

Seeking a Senior Data Integration Engineer to design and manage data pipelines for AI enablement in financial services. Responsibilities include developing ETL processes, implementing data governance, and enhancing AI workflows.

A financial services firm in Vancouver is seeking a Senior Data Integration Engineer to design and manage data pipelines supporting AI enablement. You will develop scalable ETL processes, implement data governance controls, and collaborate across teams to enhance AI workflows. Candidates should have strong skills in SQL and Python along with experience in...

Team Overview We accelerate BMO’s AI journey by building enterprise‑grade, cloud‑native AI solutions. Our team combines engineering excellence with cutting‑edge AI to deliver scalable, secure, and responsible solutions that power business innovation across the bank. We enable and accelerate our partners on their AI journeys across the enterprise,...

Senior Data Engineer needed for a hybrid role in Canada to build and deploy data architecture for ML/AI initiatives, requiring expertise in ETL/ELT pipelines and programming languages like Python, Scala, or Java.

Lead the design and delivery of AI-first data products and solutions, build ETL/ELT pipelines for video data, develop synchronization algorithms, and optimize storage-to-GPU pipelines for ML training.