Computer Vision Engineer

Crimson Energy Experts Pvt Ltd; Delhi; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Crimson Energy Experts Pvt Ltd seeks a hands-on Computer Vision Engineer to design, develop, and deploy real-time video analytics and visual perception systems on GPU/edge platforms.

Responsibilities include building production-grade AI pipelines with NVIDIA DeepStream/TensorRT, multi-camera surveillance, object detection, tracking, and landmark recognition, plus optimizing latency and throughput for field deployments.

Qualifications

• B.Tech / M.Tech in CS, AI, Electronics, Robotics, Mechatronics or related field.
• 3–6 years of CV development experience.
• Hands-on experience with production deployments.

Responsibilities

• Develop and deploy real-time object detection, tracking, and classification systems.
• Build video analytics pipelines for multi-camera systems.
• Train, fine-tune, and evaluate models using PyTorch.
• Optimize inference using TensorRT, CUDA, and GPU acceleration.

Skills

Programming

Computer Vision

Deep Learning

Deployment

Video Streaming

Vision-Language Models

OCR

Maritime/Surveillance domain

Education

B.Tech / M.Tech in CS/AI/Electronics/Robotics/Mechatronics

Tools

NVIDIA DeepStream

TensorRT

CUDA

ONNX

Job description

About the Role

We are looking for a hands-on Computer Vision Engineer to design, develop, and deploy real-time video analytics and visual perception systems.

The role involves building production-grade AI pipelines using NVIDIA DeepStream, TensorRT, and modern Computer Vision models running on GPU and edge platforms.

The selected candidate will work on advanced maritime and surveillance applications involving multi-camera analytics, object detection, tracking, landmark recognition, visual navigation, and real-time situational awareness.

Key Responsibilities

Computer Vision Development

• Develop and deploy real-time object detection, tracking, and classification systems.
• Build video analytics pipelines for EO/IR camera systems.
• Develop visual landmark detection and recognition algorithms.
• Implement vessel, object, and target tracking solutions.
• Design image enhancement and video preprocessing pipelines.
• Train, fine-tune, and evaluate deep learning models using PyTorch.
• Work with YOLO, RT-DETR, segmentation, classification, and tracking models.
• Create and manage datasets, annotations, and evaluation benchmarks.
• Improve model performance under varying weather, lighting, and environmental conditions.

Real-Time Video Analytics

• Build and maintain NVIDIA DeepStream pipelines.
• Integrate RTSP/IP camera streams and multi-camera systems.
• Implement tracking algorithms such as ByteTrack, DeepSORT, and NvDCF.
• Develop event-driven analytics and alerting systems.

Optimization & Deployment

• Optimize inference using TensorRT, ONNX, CUDA, and GPU acceleration.
• Deploy applications on NVIDIA Jetson platforms and GPU servers.
• Improve latency, throughput, and resource utilization.
• Support field deployments, testing, and troubleshooting.

System Integration

• Integrate AI modules with software applications, APIs, databases, and external sensors.
• Collaborate with software, deployment, and hardware teams to deliver end-to-end solutions.
• Maintain documentation, benchmarks, and deployment procedures.

Required Technical Skills

• Programming
• Computer Vision & AI
• Deep Learning Models
• Deployment & Optimization
• Video Streaming

Preferred Skills

• Vision-Language Models (Qwen, MiniCPM, LLaVA)
• OCR and Document Vision
• Maritime, Defence, Surveillance, or Smart City domain experience

Desired Candidate Profile

• Strong problem-solving and debugging skills.
• Experience handling production deployments and field trials.
• Ability to optimize systems for latency, throughput, and reliability.
• Comfortable working across AI, software, and deployment domains.
• Self-driven engineer capable of taking ownership from development to deployment.

Qualification

• B.Tech / M.Tech in Computer Science, AI, Electronics, Robotics, Mechatronics, or related discipline.
• 3–6 years of relevant Computer Vision development experience.