Senior Computer Vision Engineer

Stepping Edge; Coimbatore District; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Stepping Edge is seeking a Senior Computer Vision Engineer to join our AI team in Coimbatore, India. You will be responsible for designing and implementing advanced computer vision algorithms and models. This role spans the entire development lifecycle, including research, prototyping, and deployment.

The ideal candidate will have over 4 years of experience in computer vision, strong skills in Python and C++, and familiarity with deep learning frameworks like PyTorch or TensorFlow. You will also collaborate with software engineers and mentor junior staff.

Qualifications

• 4+ years of professional experience in developing and deploying computer vision solutions.
• Expert proficiency in Python and C++.
• Hands-on experience with PyTorch or TensorFlow.
• Extensive experience with OpenCV.

Responsibilities

• Design and develop advanced computer vision algorithms.
• Implement and train deep learning models.
• Optimize and deploy vision algorithms for real-time performance.
• Collaborate with software engineers to integrate vision components.

Skills

Python

C++

Deep Learning

OpenCV

Cloud Deployment

YOLO

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

We are seeking an experienced Senior Computer Vision Engineer to join our AI team. In this role, you will design, implement, and deploy state-of-the-art computer vision models and algorithms to solve complex real-world problems. You will be responsible for the entire development lifecycle, from initial research and prototyping to production-level deployment and optimization.

Responsibilities

• Design and develop advanced computer vision algorithms for tasks such as object detection (YOLO, Faster R-CNN, etc.), segmentation, tracking, and feature extraction.
• Implement and train deep learning models using frameworks like PyTorch or TensorFlow, with a focus on modern neural network architectures.
• Optimize and deploy vision algorithms for real-time performance on various hardware platforms, specifically Cloud (AWS/GCP/Azure) and Edge devices (NVIDIA Jetson, Coral, etc.).
• Apply OpenCV and other libraries for image transformation, filtering, and data augmentation pipelines.
• Stay current with the latest research in computer vision and deep learning, applying relevant breakthroughs to our products.
• Collaborate with software engineers to integrate vision components into larger systems and APIs.
• Mentor junior engineers and participate in code reviews to maintain high engineering standards.

Required Qualifications

• Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• Experience: 4+ years of professional experience in developing and deploying computer vision solutions in a production environment.
• Programming: Expert proficiency in Python and C++.
• Deep Learning: Hands-on experience with PyTorch or TensorFlow, with specific expertise in YOLO and diverse neural model architectures.
• Vision Libraries: Extensive experience with OpenCV, specifically for image transformations, preprocessing, and traditional vision techniques.
• Deployment: Proven track record of deploying models to Cloud environments and optimizing for Edge devices.

Preferred Skills

• Experience with deployment tools such as TensorRT, ONNX, or OpenVINO.
• Familiarity with cloud infrastructure (AWS/GCP/Azure) and MLOps practices.
• Experience with Docker and Kubernetes for model deployment.
• Contributions to open-source projects or publications in top-tier conferences (CVPR, ICCV, ECCV).

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative team environment.