Top Remote Artificial Intelligence Data Engineering Jobs

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Data Services Integration Engineer automates data workflows, integrates systems using Microsoft Power Platform, and ensures data integrity through governance policies and documentation.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.