Consultant Computer Vision, Tech For Conservation
Duration: |
4 months, with possibility of extension |
Position Summary:
Here is an opportunity for a computer vision professional with 3-4 years of experience who can help us establish a data analysis pipeline integrated with classification and segmentation models. This role is ideal for someone with a passion for developing technological solutions to accelerate wildlife research and conservation. Candidate must be an analytical thinker, self-motivated, a good team player, and collaborative. You will have an opportunity to interact with various on-ground conservation project teams and their image and video data.
Objectives of this role:
- •Design and develop advanced computer vision algorithms for object detection, recognition and tracking
- •Implement and optimise algorithms for real-time processing and performance efficiency.
- •Test and refine models and systems based on real-world data and feedback
- •Collaborate internally and with on-ground partners to discuss and standardise the data analysis pipeline
- •Develop, test and maintain quality automation scripts and tools
- •Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions
- •Collaborate with cross-functional teams to identify and solve complex problems
- •Write clean and reusable code that can be easily maintained and scaled
Required Skills:
- •Bachelor’s or master’s degree in computer science, electronics engineering, or a related field – or equivalent training and experience
- •Proven ability to develop computer vision applications using Python, C++, and relevant frameworks such as OpenCV, TensorFlow, or PyTorch (2-4 years of experience)
- •Well-versed with git applications
- •Demonstrated experience in automation
- •Good understanding of machine learning, neural networks, and image-processing techniques
- •Strong critical thinking, analytical, and problem-solving skills
- •Interest and exposure to conservation, open to learning
How to apply
Interested candidates may apply along with an up-to-date CV (including any relevant experience) and a brief statement of interest. Only the shortlisted candidates will be contacted.
Send your CV here: tech@thehabitatstrust.org