Job Description

Role: Computer Vision Modeling Intern (PPO Opportunity)

Function: Artificial Intelligence → Computer Vision → AI Modeling

Location: Bangalore (Work from Office)

Experience: Internship (6 months –1 years) with PPO Offer

About Varaha

Varaha is a leading climate tech venture focused on nature-based solutions such as regenerative agriculture, ARR, and biochar projects that support smallholder land stewards at scale. In our second year of operation we are removing and avoiding more than 1 Million tons of CO2 and distributing the majority of the revenues to more than 100,000 smallholder land stewards in South Asia and Sub-Saharan Africa. Our in-house best in class MRV technology includes a bio-geo-chemical model for soil carbon, remote sensing and machine learning and uses soil samples for calibration. Backed by leading global investors, our founding and management team comes with a stellar track record of successfully scaling projects and products to millions of smallholder land stewards at leading agri- and tech businesses.

Role Overview

We are seeking a highly motivated Computer Vision Modeling Intern to join our team at Varaha.Earth. In this role, you will work on solving real-world challenges using state-of-the-art computer vision techniques and frameworks such as YOLO, UNet, and other advanced architectures. You will experiment with machine learning models, process complex datasets, and contribute to developing robust and scalable vision systems. A strong foundation in computer science fundamentals, expertise in Python, and familiarity with deep learning frameworks are essential.

The internship comes with a Pre-Placement Offer (PPO) for exceptional performance.

Responsibilities

• Develop and train computer vision models for tasks such as image classification, object detection, segmentation, and more using frameworks like YOLO, UNet, and Faster R-CNN.
• Process and analyze large datasets, including cleaning, labeling, augmentation, and generating synthetic data.
• Implement and fine-tune cutting-edge vision algorithms and techniques, benchmarking against state-of-the-art methods.
• Optimize models for scalability, speed, and accuracy in production environments.
• Deploy computer vision models on cloud platforms or edge devices with a focus on performance optimization.
• Collaborate with cross-functional teams, including product managers and data scientists, to align vision models with business goals.
• Stay updated with advancements in computer vision, deep learning, and related areas.