Senior Data Engineer
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master’s degree in Computer Science or a related field, with a Ph.D. in any field being a plus, and a minimum of five years of software engineering experience. Proficiency in programming languages such as Python, Java, and Scala is required, along with experience in data engineering and ETL pipelines, and familiarity with cloud and distributed systems. Prior experience working with knowledge graphs and AI is considered a plus, as is experience with UI languages and frameworks like React, React Native, TypeScript, and JavaScript.
As a Senior Software Engineer, you will lead initiatives supporting the development of Dataminr’s Knowledge Platform, develop pipelines and services for building and maintaining the massive-scale knowledge graph, and work with cross-functional teams to develop new capabilities that fuse knowledge and AI for automated alerting at scale. You will also develop solutions for knowledge graph data access and management, including the use of GenAI/LLMs, and apply AI solutions to automate data quality assessments and updates to the knowledge graph, as well as work on applications of AI over the knowledge graph.
Real-time AI for risk detection and alerts
Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.