Description

Develop and optimize signal processing and machine learning algorithms for embedded systems, focusing on real-time noise reduction.

This role is remote.

Responsibilities

• Design and implement Digital Signal Processing (DSP) algorithms using MATLAB.
• Develop, train, and deploy machine learning models in Python for signal enhancement.
• Write C code for embedded systems and hardware/software interfaces.
• Optimize DSP and ML pipelines for efficiency, scalability, and performance.
• Execute real-time noise reduction tasks to remove unwanted signals.

Required Skills

• 5+ years of experience in machine learning or signal processing.
• Deep understanding of DSP concepts: filtering, spectral analysis, signal transformations.
• Extensive experience using MATLAB for DSP algorithm development.
• Proficiency in Python for ML model development and data analysis.
• Strong C programming skills for embedded systems.
• Practical experience with noise reduction techniques (adaptive, Wiener, spectral subtraction).
• Proven ability to implement ML models for real-world applications.

Preferred Skills

• Experience with real-time signal processing in embedded systems.
• Familiarity with GPU-based computing or frameworks like TensorFlow or PyTorch.
• Understanding of time-series analysis and sensor data processing.

Key Skills

Education

Any Graduate