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Recognized

Computer Vision Data Scientist Pune Maharashtra (India)

Recognized

India
Full-Time
Posted 1 month ago

Job Description & Responsibilities

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

Solid 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

Solid 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.

Required Skills

PythonMachine LearningDeep LearningTensorFlowPyTorch

Job Details

Employment TypeFull-Time
Work ModeOn-Site
Experience00 years
Positions1

Posted by

N/A

Posted on:

30 Jul 2026

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