Principal AI Engineer & Data Analyst

Concepts Beyond is seeking a hands-on AI technical lead for aviation safety and air traffic management programs. The role builds and deploys real-time voice-processing systems, AI/ML models, and data pipelines to support operational decisions and safety analytics in the National Airspace System.

Responsibilities:

• Build and fine-tune real-time ASR for pilot–controller radio communications using modern architectures (Whisper-class, Conformer/FastConformer, streaming RNN-T/CTC), adapted to noisy radio channels, call-sign phraseology, and diverse accents
• Implement call-sign/command spotting and Named-Entity Recognition (NER) with contextual biasing against surveillance data (e.g., ADS-B); develop speaker-role/turn detection, voice activity detection, and read-back error detection
• Deploy low-latency streaming inference for live ATC operations, evaluated on call-sign and command accuracy, not just overall word error rate
• Develop RAG pipelines over enterprise vector stores, and fine-tune and deploy LLMs/SLMs and agentic architectures for real-time operational analysis and decision support
• Develop AI/ML for aviation safety analytics: aircraft conflict and collision risk prediction, trajectory-based anomaly detection, and probabilistic, time-series, and causal-factor analysis on ASIAS/FOQA/ASRS data
• Architect, build, and maintain scalable, idempotent ETL/ELT pipelines for structured and unstructured data (e.g., Apache Airflow, Prefect, Spark, Flink) across cloud and hybrid environments
• Integrate and manage data across enterprise platforms (e.g., Palantir Foundry, AWS, Azure, GCP)
• Analyze state-of-the-art technologies and drive cutting-edge AI strategy; promote thought leadership through publications, conference presentations, and industry collaboration