Machine Learning Engineer

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:

Strong 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.