Computer Vision Data Scientist (Pune)

Codvo.ai; Pune District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

A leading tech company in Pune, India is seeking a Computer Vision Data Scientist. The ideal candidate will design and optimize computer vision models, employ techniques like object detection and segmentation, and deploy solutions on edge devices. Strong expertise in Python and model optimization frameworks is essential. Join a collaborative team dedicated to innovative data solutions and cutting-edge technology.

Qualifications

• Strong expertise in object detection architectures like YOLO or Faster R-CNN.
• Proven experience deploying optimized models using frameworks like TensorRT.
• Strong Python programming skills necessary for building scalable code.

Responsibilities

• Design, develop, and optimize computer vision models for various applications.
• Build and train deep learning models using PyTorch or TensorFlow.
• Deploy models on edge hardware platforms like NVIDIA Jetson.
• Quantize, prune, benchmark, and latency-optimize models.
• Deploy models on edge hardware platforms (NVIDIA Jetson and Intel-based devices).
• Write clean, scalable, production-ready Python code.
• Collaborate with ML engineers, software developers, and hardware teams.
• Conduct performance evaluation, debugging, and continuous improvement of deployed systems.
• Stay updated with the latest research in computer vision and edge AI.

Skills

Object detection architectures

Segmentation models

Tracking algorithms

Pose estimation frameworks

Model optimization techniques

Python programming skills

ByteTrack

OpenPose

HRNet

Python

INT8 quantization

FP16

Pruning

GPU acceleration

Edge AI constraints understanding

Tools

PyTorch

TensorFlow

TensorRT

OpenVINO

NVIDIA TAO Toolkit

Job description

Job Title: Computer Vision Data Scientist

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Key Responsibilities

• Design, develop, and optimize computer vision models for:
• Object Detection
• Image & Instance Segmentation
• Multi-Object Tracking
• Human Pose Estimation
• Build and train deep learning models using frameworks such as PyTorch or TensorFlow.
• Convert and optimize models for edge deployment using:
• TensorRT
• OpenVINO
• NVIDIA TAO Toolkit
• Perform model quantization, pruning, benchmarking, and latency optimization.
• Deploy models on edge hardware platforms (NVIDIA Jetson, Intel-based edge devices, etc.).
• Write clean, scalable, and production-ready code in Python.
• Collaborate with cross-functional teams including ML engineers, software developers, and hardware teams.
• Conduct performance evaluation, debugging, and continuous improvement of deployed systems.
• Stay updated with the latest research and advancements in computer vision and edge AI.

Required Qualifications

• Strong expertise in:
• Object detection architectures (e.g., YOLO, Faster R-CNN, SSD)
• Segmentation models (e.g., U-Net, Mask R-CNN)
• Tracking algorithms (e.g., DeepSORT, ByteTrack)
• Pose estimation frameworks (e.g., OpenPose, HRNet)
• Proven experience deploying optimized models using:
• TensorRT
• OpenVINO
• NVIDIA TAO Toolkit
• Strong Python programming skills.
• Experience with model optimization techniques (INT8 quantization, FP16, pruning).
• Familiarity with ONNX and model conversion pipelines.
• Understanding of GPU acceleration and edge hardware constraints.