Artificial Intelligence Specialist

Job Title: Sr. AI Computer Vision Engineer

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About Us

Ezio Solution

Role Overview

computer vision engineer

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).

Interested candidates can share their CV at [Connect@eziosolutions.com] or DM me directly at 7530093685.