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Popular ML title increases competition, but niche C++/Qt real-time telemetry requirements shrink the qualified candidate pool.
Requires ML plus C++/Qt and real-time telemetry expertise, limiting cross-industry transferability.
Explicit 0-2 years plus mandatory C/C++, Python, real-time telemetry and ML skills impose moderate filtering.
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Develop and integrate machine learning models for anomaly detection and predictive analytics within C++/Qt applications handling real-time and offline telemetry data.
Optimize ML models for low-latency inference in environments using shared memory, UDP streams, and file-based telemetry data.
Implement AI/LLM-based capabilities including report generation, text summarization, and intelligent analysis to support decision-making.
Proficiency in C and C++ programming (mandatory).
Experience in Python for ML model development and data processing.
Work Experience Required: 0-2 years, preferably in Aerospace and Defence sectors.
Not explicitly mentioned: educational qualifications and notice period.
Experience working on ML solutions integrated within real-time telemetry data processing systems.
Familiarity with handling streaming data sources and offline log data for predictive analytics.
Understanding and hands-on knowledge of Large Language Models (LLMs), prompt engineering, and AI-driven automation capabilities.