Artificial Intelligence Specialist
4 weeks ago
We are seeking a highly skilled Artificial Intelligence Specialist with a strong focus on Computer Vision to join our team. The ideal candidate will have expertise in a wide range of AI and machine learning techniques, particularly in the field of computer vision. As an AI Specialist, you will be responsible for developing and implementing cutting-edge algorithms and models to solve complex problems in image processing, classification, segmentation, object detection, and more.
Key Responsibilities :
1. Develop and implement state-of-the-art deep learning models for various computer vision tasks including image classification, object detection, and image segmentation.
2. Utilize Convolutional Neural Networks (CNNs), You Only Look Once (YOLO), Generative Adversarial Networks (GANs), and Transformers to develop robust and scalable solutions.
3. Leverage Transfer Learning techniques to adapt pre-trained models to specific tasks and domains.
4. Work with large-scale datasets, including data annotation and augmentation, to train and evaluate models effectively.
5. Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
6. Stay updated with the latest advancements in AI and computer vision research, and contribute to ongoing innovation within the company.
7. Apply supervised and unsupervised learning techniques to tabular data. Leverage understanding of timeseries to build forecasting models
8. Proficiently use Python and popular libraries/frameworks such as OpenCV, Keras, PyTorch, PIL, scikit-image, scikit-learn, and others to implement AI solutions.
9. Work on projects involving Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) for natural language processing tasks.
10. Document research findings, methodologies, and code for internal knowledge sharing and external publication.
Qualifications :
1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
2. Experience in developing and deploying AI solutions with a focus on computer vision.
3. Strong proficiency in Python programming language and its associated libraries/frameworks for AI development.
4. Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras.
5. Familiarity with image processing techniques, data preprocessing, and data augmentation.
6. Solid understanding of convolutional neural networks (CNNs), generative adversarial networks (GANs), and other advanced AI techniques.
7. Experience with popular computer vision libraries such as OpenCV, PIL, and scikit-image.
8. Knowledge of transfer learning and its application for CV and Generative AI tasks
9. Excellent problem-solving skills and ability to work independently or in a team environment.
10. Strong communication skills and ability to convey complex technical concepts to non-technical stakeholders.
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