We are seeking an AI / Machine Learning Engineer with knowledge in C/ C++ to develop and integrate AI - predictive analytics and anomaly detection solutions for real-time and offline telemetry data processing. The role involves building Machine Learning models, implementing AI/LLM-based capabilities such as report generation and intelligent analysis, and integrating these solutions into C++/Qt applications. The engineer will work with telemetry data from shared memory, UDP streams, and files to detect anomalies, generate insights, and support decision-making.
1. AI & Machine Learning Model Development & Integration
- Develop and integrate ML-based anomaly detection and predictive analytics into a C++/Qt application.
- Work on data-driven failure prediction for real-time telemetry systems.
- Implement techniques for handling missing data and improving model accuracy.
2. Real-Time & Offline Data Processing
- Develop solutions for handling data in real-time (shared memory, UDP) and offline (CSV, logs).
- Optimize models for low-latency inference in real-time environments.
- Work with software engineers to integrate ML models into C++/Qt-based systems.
3. LLM & AI-driven Automation
- Knowledge in Large Language Models (LLMs) for text summarization, report generation, and information extraction.
- Understanding of prompt engineering and working with LLM APIs
