The Data Engineer will curate and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for various application teams. The hire will support our application experts, software developers, database architects, and data analysts on a Data Roadmap strategy and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams, systems, and products.
The AI Intern Analyst will assist the IT team in leveraging artificial intelligence technologies to enhance data analytics processes, focusing on data collection, analysis, and the application of machine learning techniques to solve business challenges and documentation. This internship involves gathering, analysing and creating documentation and contributing to measuring the usage and adoption of these AI tools within the organization.
YipitData's Corporate team helps organizations make sense of external data. As a Solutions Associate, you'll develop and deliver data-driven insights, working with Marketing, Sales, and Data Product teams to create and communicate data-driven insights to inform client decision making.
Seeking a Machine Learning & Data Infrastructure Architect to lead the technical vision and architecture for the systems that power the entire machine learning lifecycle—from data ingestion and storage to model training, evaluation, and deployment. This is a mission-critical leadership role within the ML & Data Platform team, shaping the infrastructure that supports terabytes of daily sensor data and petabyte-scale datasets essential for autonomous vehicle development.
Ardent is seeking a Technical Lead to participate in large-scale software development efforts within the Department of Homeland Security including (but not limited to): Implementing features and enhancements for existing systems, Implementing ETL pipelines and scripts to transform data and enforce data integrity, Integrating data pipelines into data warehouses supporting large volumes of data, and Designing and implementing reporting and analytics solutions for geospatial data.
Help scale and measure customer insights that maximize value across our global customer base. You will lead data-focused initiatives that deliver insights to our customers at scale, capture insights to reduce churn and drive growth, and measure impact across Digital Success programs to drive business planning.