Description

You will build and deploy machine learning models to interpret underwater acoustic signals for shrimp feeding patterns.

This role is on-site.

Responsibilities

• Design, train, and optimize machine learning models for acoustic signal interpretation.
• Implement real-time prediction systems to automate feeding schedules.
• Collect, clean, and preprocess underwater acoustic data.
• Analyze signal patterns to extract features related to shrimp appetite and activity.
• Collaborate with IoT teams to integrate models into edge devices and cloud systems.

Required Skills

• 2-4 years of experience in Machine Learning.
• Experience with signal pattern analysis and feature extraction.
• Ability to implement real-time prediction systems.
• Experience with data collection, cleaning, and preprocessing.
• Knowledge of integrating ML solutions with IoT and edge devices.
• Any Graduate degree.

Key Skills

Education

Any Graduate