Computer Vision Software Engineer

Staffington; Hyderabad; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Staffington in Hyderabad is seeking a senior computer vision engineer to design and optimize models for detection, segmentation, tracking, OCR, and video analytics, and to build end-to-end pipelines for ingestion, annotation, augmentation, training, evaluation, and inference.

The role focuses on near real-time execution across cloud, data center and edge devices, monitoring model health and performance, and collaborating with MLOps and software teams to ensure robust production systems.

Qualifications

• Bachelor’s or Master’s in Computer Science, AI, Electrical Engineering, Mathematics, or a related discipline.
• 5+ years of production experience in computer vision or deep learning.
• Strong Python and TensorFlow, PyTorch, or Keras skills.
• Strong experience with OpenCV and detection, segmentation, tracking, OCR, or video analytics.
• Experience with data preparation, model evaluation, deployment, monitoring, and MLOps.
• Experience with real-time, multi-camera, edge, NVIDIA, or mission-critical systems is preferred.

Responsibilities

• Develop models for detection, segmentation, tracking, OCR, action recognition, and video analytics.
• Build video ingestion, annotation, augmentation, training, evaluation, and inference pipelines.
• Optimise models for near-real-time execution across cloud, data-centre, and edge platforms.
• Integrate model events, confidence, timestamps, and health status into operator monitoring workflows.
• Manage false positives, missed detections, model drift, changing weather, lighting, and camera conditions.
• Monitor production accuracy, latency, throughput, resource use, camera availability, and model health.

Skills

Python

TensorFlow

PyTorch

OpenCV

MLOps

Video analytics

OCR

Deployment

Edge computing

Real-time processing

Education

Bachelor's or Master's in CS/AI/EE/Math

Tools

NVIDIA platforms

Job description

Responsibilities

• Develop models for detection, segmentation, tracking, OCR, action recognition, and video analytics.


• Build video ingestion, annotation, augmentation, training, evaluation, and inference pipelines.


• Optimise models for near-real-time execution across cloud, data-centre, and edge platforms.


• Integrate model events, confidence, timestamps, and health status into operator monitoring workflows.


• Manage false positives, missed detections, model drift, changing weather, lighting, and camera conditions.


• Monitor production accuracy, latency, throughput, resource use, camera availability, and model health.

Requirements

• Bachelor’s or Master’s in Computer Science, AI, Electrical Engineering, Mathematics, or a related discipline.


• 5+ years of production experience in computer vision or deep learning.


• Strong Python and TensorFlow, PyTorch, or Keras skills.


• Strong experience with OpenCV and detection, segmentation, tracking, OCR, or video analytics.


• Experience with data preparation, model evaluation, deployment, monitoring, and MLOps.


• Experience with real-time, multi-camera, edge, NVIDIA, or mission-critical systems is preferred.

Soft Skills

• Strong analytical and experimental mindset.


• Clear understanding of the operational impact of false or missed alerts.


• Ability to communicate confidence, limitations, and model trade-offs.


• Strong collaboration with domain, software, verification, and MLOps teams.


• Disciplined approach to reproducibility and documentation.


• Ownership from experimentation through production operation.