Key Responsibilities :

- 1. AI & Machine Learning Model Development & Integration - 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 :

- Solid 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.

📌 Machine Learning Engineer (Bengaluru)
🏢 Park Controls E Communications
📍 Bengaluru