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.