ML Wildlife Application

Position Title: Wildlife Tracking Digitization using ML Location: Remote Expected Duration: 1 year contract Visa acceptance: Must be GC or US Citizen Type of engagement CTC, CTH or FT: CTC Mode of interview: 2 rounds of interviews. About the Role: Job Description: Tracking animals in the wild is an ancient art. This skill has helped humans survive over thousands of years and has been passed down from generation to generation. However, due to several factors, this skill has slowly but surely started to disappear. In collaboration with the Tracker Academy from South Africa, we want to make sure that this skill can stay alive and, in fact, gain popularity by digitizing this skill and putting it in people's pockets through their mobile devices. In this endeavor, we aim to Build web and smartphone apps for users to capture images of wildlife evidence/signs and upload it to the AI-enabled backend for it to identify the species that the image belongs to Build ML models that, given images of evidence/signs left behind by various species in the wild (e.g., a footprint in the mud), can identify the species that the evidence belongs to Maintain a database of identified/labelled images which can be used to continually improve our ML models Required Skills & Qualifications: Front end web development (Django, React, Node.js, etc.) Android and/or iOS app development Backend development (experience with Python, Docker, data/database management and linking it to the front end) ML experience/knowledge would be a plus (TensorFlow, Py-Torch, model serving through Kubernetes, Kubeflow, KFServing, TensorRT, etc.)