Machine Learning Engineering Internship (4 - 6 Months)

Selected Intern's Day-to-Day Responsibilities Include:

• Demonstrating strong programming skills in Python, with experience in designing and implementing machine learning algorithms, information extraction, and probabilistic matching models.
• Applying knowledge of deep learning algorithms in NLP (e.g., LSTMs, RNNs) and Computer Vision (e.g., CNNs) using frameworks such as TensorFlow, Keras, and PyTorch to solve real-world problems.
• Developing solutions for object detection, recognition, and image classification tasks using machine learning, deep learning algorithms, and transfer learning techniques.
• Leveraging innovative and automated approaches for data annotation, labeling, and data augmentation, as well as implementing active learning methods.
• Providing online code assistance, mentorship, and education-based solutions to support learners in mastering machine learning concepts.
• Committing to continuous learning and adapting quickly to new systems and concepts as they emerge.
• Working on research-based machine learning projects, staying updated on new developments in NLP and image recognition.