Junior AI/Data Scientist

You should have at least 2 years of hands-on experience. You must possess a strong theoretical understanding of Data Science algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages like Python is required, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. You should have hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. A solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc., is essential. Familiarity with computer vision concepts like image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow is expected.,