Ai/Machine Learning Engineer - Part-time - Worldwide

We are developing an innovative AI-powered solution for livestock management, focusing on improving animal welfare and farm efficiency.

About the Project:

"We are seeking a talented AI/Machine Learning Engineer to develop a system that can:
• Uniquely identify individual cattle from video or photo input.
• Track and analyze the movement of individual cattle over time.
• Compare current movement patterns to historical data and highlight significant differences or anomalies.

Responsibilities:

• Develop and implement computer vision algorithms for detecting and tracking cattle in video and photo.
• Design and train a robust model for the unique identification of individual cattle (e.g., using facial recognition based on muzzle patterns or other visual features).
• Develop and implement methods for storing and analyzing historical movement data for individual cattle.
• Create algorithms to compare current movement data with historical patterns and identify deviations or anomalies.
• Collaborate on the system architecture and potential deployment strategies.
• Write clean, well-documented, and efficient code.
• Participate in code reviews and contribute to the team's knowledge sharing.

Required Skills and Experience:

• Strong background in Machine Learning and Deep Learning.
• Proven experience in Computer Vision, including object detection and tracking.
• Experience in developing and training models for image recognition or similar tasks.
• Familiarity with time series analysis techniques for movement data.
• Proficiency in Python.
• Experience with at least one major deep learning framework (TensorFlow or PyTorch).
• Experience with data handling and storage.
• Good problem-solving and analytical skills.
• Excellent communication skills.

Bonus Points:

• Experience with video analysis.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Previous work on projects involving animal behavior analysis or identification.