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 and communications
📍 Bengaluru