Sr.AI Computer Vision Engineer

Job Description

Job Title: Sr.AI Computer Vision Engineer
Location: CoimbatoreDepartment: Artificial Intelligence / R&DEmployment Type: Full-TimeExperience: [2–5 Years] (modify as per your requirement)

About Us

Ezio Solution is a fast-growing AI solutions firm driving innovation across industries through advanced AI, Machine Learning, and Computer Vision technologies. We work on cutting-edge projects in areas like retail analytics, industrial automation, security & surveillance, and smart cities.

Role Overview

We are looking for a passionate and skilled Computer Vision Engineer to join our AI team. The ideal candidate will develop, optimize, and deploy computer vision algorithms and AI models for real-world applications.

Key Responsibilities

• Design, develop, and deploy computer vision models for object detection, tracking, classification, and recognition tasks.
• Work with image/video datasets to annotate, preprocess, and augment data for training.
• Research and implement state-of-the-art models (YOLO, Faster R-CNN, Mask R-CNN, Deep SORT, etc.)
• Build pipelines to process real-time video feeds and run AI inference with optimized latency.
• Optimize models using ONNX, TensorRT, or OpenVINO for edge deployments (e.g., Jetson Nano/Xavier, Raspberry Pi, etc.).
• Collaborate with cross-functional teams (Data Science, Backend, DevOps) for full-stack AI deployment.
• Stay updated with the latest trends and papers in computer vision and deep learning.

Key Skills & Qualifications

• Strong proficiency in Python and libraries like OpenCV, NumPy, scikit-learn.
• Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, Keras.
• Solid understanding of CNN architectures and experience training/evaluating models.
• Familiarity with image annotation tools and dataset creation (LabelImg, CVAT, etc.)
• Experience deploying models on edge devices or in cloud environments is a plus.
• Bonus: Experience with multimodal AI (vision + language), pose estimation, 3D vision, or SLAM.

Nice to Have

• Familiarity with MLOps tools (MLflow, Weights & Biases).
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
• Experience with containerized deployments (Docker).
• Knowledge of REST API development for model serving (FastAPI, Flask).

Job Types: Full-time, Permanent

Pay: From ₹20,000.00 per month

Benefits:

• Provident Fund

Application Question(s):

• How many years of hands-on experience do you have in developing computer vision models using TensorFlow or PyTorch?
• Do you have experience with image/video dataset annotation tools like LabelImg or CVAT?
• Which computer vision frameworks or architectures have you worked with?

Work Location: In person