Computer Vision Engineer

Oasys Tech Solutions; Khordha; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Oasys Tech Solutions is seeking a Computer Vision Engineer with 4+ years of hands-on experience to design, develop, and deploy computer vision and AI solutions for real-world applications.

You will work with YOLOv8/YOLOv11, OpenCV, PyTorch or TensorFlow, and build real-time video analytics pipelines, model optimization, and RESTful services using FastAPI/Flask and Docker.

Qualifications

• 4+ years of hands-on experience in Computer Vision / Deep Learning.
• Strong programming skills in Python.
• Strong experience with OpenCV, PyTorch and/or TensorFlow.
• Hands-on experience with YOLOv8/YOLOv11 or similar object detection frameworks.
• Good understanding of CNNs, object detection, segmentation, classification, tracking, and image processing.
• Experience with DeepSORT, ByteTrack, SORT, or similar tracking algorithms.
• Experience working with RTSP/IP cameras and real-time video processing.

Responsibilities

• Design, develop, and deploy Computer Vision and AI solutions for real-world applications.
• Develop and optimize object detection, classification, tracking, segmentation, and image/video analytics models.
• Work with YOLO (v8/v11), OpenCV, PyTorch, and TensorFlow.
• Develop real-time video analytics pipelines using CCTV, RTSP, IP cameras, and video streams.
• Implement multi-object tracking, counting, activity recognition, anomaly detection, and event detection.
• Perform data collection, preprocessing, annotation, augmentation, model training, validation, and optimization.
• Fine-tune pretrained models and improve accuracy, FPS, latency, and inference performance.
• Deploy computer vision models using FastAPI/Flask, REST APIs, Docker, and cloud platforms.
• Integrate AI models with databases, backend services, dashboards, and enterprise applications.
• Optimize models for GPU/CPU inference and edge deployment.
• Monitor deployed models and troubleshoot production issues.
• Collaborate with AI/ML engineers, backend/frontend developers, and business teams to deliver POCs and production solutions.

Skills

Python

Deep Learning

Computer Vision

Tools

OpenCV

PyTorch

TensorFlow

YOLOv8/YOLOv11

FastAPI/Flask

Docker

Job description

Computer Vision Engineer 4+ Years Experience

Key Responsibilities

• Design, develop, and deploy Computer Vision and AI solutions for real-world applications.
• Develop and optimize object detection, classification, tracking, segmentation, and image/video analytics models.
• Work with YOLO (v8/v11), OpenCV, PyTorch, TensorFlow, and other deep learning frameworks.
• Develop real-time video analytics pipelines using CCTV, RTSP, IP cameras, and video streams.
• Implement multi-object tracking, counting, activity recognition, anomaly detection, and event detection.
• Perform data collection, preprocessing, annotation, augmentation, model training, validation, and optimization.
• Fine-tune pretrained models and improve accuracy, FPS, latency, and inference performance.
• Deploy computer vision models using FastAPI/Flask, REST APIs, Docker, and cloud platforms.
• Integrate AI models with databases, backend services, dashboards, and enterprise applications.
• Optimize models for GPU/CPU inference and edge deployment.
• Monitor deployed models and troubleshoot production issues.
• Collaborate with AI/ML engineers, backend/frontend developers, and business teams to deliver POCs and production solutions.

Required Technical Skills

• 4+ years of hands-on experience in Computer Vision / Deep Learning.
• Strong programming skills in Python.
• Strong experience with OpenCV, PyTorch and/or TensorFlow.
• Hands-on experience with YOLOv8/YOLOv11 or similar object detection frameworks.
• Good understanding of CNNs, object detection, segmentation, classification, tracking, and image processing.
• Experience with DeepSORT, ByteTrack, SORT, or similar tracking algorithms.
• Experience working with RTSP/IP cameras and real-time video processing.