
Artificial Intelligence Specialist
3 days ago
Job Title: Sr. AI Computer Vision Engineer
Location:
Coimbatore
Department:
Artificial Intelligence / R&D
Employment Type:
Full-Time
Experience:
[2–5 Years]
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).
Interested candidates can share their CV at [
] or DM me directly
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