onsite
Machine Learning Engineer - Bornea Dynamics Limited
ML Engineer
Machine Learning Engineer specializing in digital signal processing to develop advanced sensing, detection, classification, and autonomous decision‑making systems for defence and aerospace applications.
About the role
Key Responsibilities
- Design and implement machine‑learning algorithms for real‑time signal analysis, detection, and classification.
- Develop and optimize DSP pipelines that integrate with embedded hardware platforms.
- Collaborate with cross‑functional teams to translate system requirements into scalable AI solutions.
- Evaluate model performance using statistical metrics and conduct rigorous testing in simulated and field environments.
- Maintain code quality, documentation, and version control for reproducible research and production deployment.
Requirements
- Bachelor’s or higher in Computer Science, Electrical Engineering, or a related field with a focus on machine learning and signal processing.
- Strong programming skills in Python and C++, with experience using TensorFlow or PyTorch for model development.
- Proven expertise in digital signal processing techniques, including filtering, Fourier analysis, and feature extraction.
- Experience deploying ML models on embedded or real‑time systems, preferably in defence, aerospace, or related domains.
- Excellent problem‑solving abilities and the capacity to work collaboratively in a multidisciplinary environment.
Skills
machine learningpythontensorflowc