Job Title : Computer Vision Engineer

Job Overview :

We are seeking a skilled and innovative Computer Vision Engineer to design, develop, and deploy cutting-edge computer vision and deep learning solutions.

The ideal candidate will have strong expertise in image processing, machine learning, and cloud-based technologies, with the ability to solve complex real-world problems using visual data.

Key Responsibilities :

- Develop and implement computer vision algorithms for tasks such as object detection, image classification, segmentation, and tracking.

- Design, train, and optimize deep learning models, particularly Convolutional Neural Networks (CNNs).

- Work with large-scale datasets to build robust and scalable vision-based solutions.

- Apply image processing techniques including filtering, edge detection, and feature extraction.

- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to deliver end-to-end solutions.

- Deploy and manage models on cloud platforms, particularly within the Azure ecosystem (e.g., Azure Databricks).

- Optimize model performance for accuracy, scalability, and efficiency.

- Stay updated with the latest advancements in computer vision and AI technologies and implement best practices.

Required Skills & Qualifications :

Technical Skills :

- Strong proficiency in Python and experience with PySpark.

- Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, Keras, or PyTorch.

- Solid understanding of neural networks, especially Convolutional Neural Networks (CNNs).

- Experience with image processing techniques such as filtering, edge detection, and image segmentation.

- Familiarity with computer vision libraries like OpenCV and Dlib.

- Experience with cloud platforms, preferably Microsoft Azure (Azure Databricks, Azure ML, etc.).

- Understanding of data pipelines and model deployment in production environments