ML Developer (Machine Learning Developer)

Role Overview

ML Developer are responsible for developing the machine learning algorithms and models used in the proctoring solution. They focus on real-time monitoring, data analysis, and anomaly detection to identify suspicious behavior during online assessments.

Responsibilities

• Develop machine learning algorithms for real-time student monitoring.
• Implement AI-powered audio and video analysis capabilities.
• Train and fine-tune machine learning models on relevant datasets.
• Collaborate with frontend and backend developers for model integration.
• Conduct data preprocessing and feature engineering.
• Evaluate and improve the accuracy and efficiency of machine learning models.
• Collaborate with data privacy experts to ensure compliance with regulations.
• Stay updated on machine learning and AI research and techniques.
• Document and communicate model implementations and findings.

• Bachelors or Masters degree in Computer Science, Machine Learning, or related field.
• Proven experience in machine learning and AI development.
• Proficiency in machine learning libraries (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python.
• Knowledge of data preprocessing and feature extraction techniques.
• Experience with real-time data analysis and anomaly detection.
• Understanding of audio and video analysis algorithms is a plus.
• Excellent problem-solving and analytical abilities.
• Strong communication and collaboration skills.