Job Description

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.

Key Responsibilities

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

Skill Experience

Technical Skills:
- Knowledge in C/C++
- Programming skills in Python for ML model development.
- Knowledge of data processing, feature engineering, and model training.

Soft Skills:
- Robust problem-solving and analytical mind-set.
- Ability to collaborate with multi-disciplinary teams and communicate technical concepts clearly.
- Experience in documenting processes and findings effectively.

Experience : 0-2 years preferably in Aerospace and Defence sectors.

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