AI/ML Engineer
4 weeks ago
We are seeking an experienced AI/ML Engineer with a strong background in Computer Vision and OpenCV to join our team at Ontrack HR Services Pvt LTD. The ideal candidate will have 1-3 years of hands-on experience developing, optimizing, and deploying machine learning models, especially focused on computer vision tasks.
Key Responsibilities:
- Develop, optimize, and deploy computer vision models for image and video analysis tasks using tools such as OpenCV, TensorFlow, PyTorch, etc.
- Implement image processing algorithms for various applications, including object detection, segmentation, tracking, and recognition.
- Work with machine learning frameworks to build and fine-tune deep learning models for computer vision tasks.
- Collaborate with cross-functional teams to integrate computer vision models into production pipelines.
- Research and implement state-of-the-art techniques in the field of computer vision and deep learning.
- Evaluate model performance, conduct experiments, and improve algorithms based on project needs.
- Handle data collection, annotation, and pre-processing, ensuring high-quality datasets for training models.
- Keep up to date with the latest advancements in AI, ML, and computer vision, proposing new methods or tools for continuous improvement.
- Work with software engineers to optimize computer vision models for deployment on various platforms, including edge devices and cloud environments.
Requirements:
- 2-4 years of experience working on AI/ML and Computer Vision projects.
- Strong experience with OpenCV and image processing techniques.
- Proficiency in one or more deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Solid programming skills in Python with an emphasis on performance optimization.
- Knowledge of machine learning algorithms, particularly those used in computer vision tasks such as convolutional neural networks (CNNs), object detection, and image segmentation.
- Familiarity with common image processing techniques such as feature extraction, thresholding, morphological transformations, and contour detection.
- Experience with data augmentation and model evaluation for image-related tasks.
- Ability to work with large datasets, and preprocess data for training models (image resizing, normalization, etc.).
- Strong problem-solving skills and ability to translate business requirements into technical solutions.
- Excellent communication and teamwork skills, with the ability to work in a dynamic and collaborative environment.
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