ML Engineer

Description:

Core Skills Required Python Programming: Strong proficiency in Python, especially for data manipulation, algorithm development, and ML/DL tasks.Machine Learning (ML): Experience with machine learning algorithms (e.g., regression, classification, clustering) and frameworks such as scikit-learn.Deep Learning (DL): Hands-on experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of neural network architectures (CNNs, RNNs, Transformers, etc.) is a must. Secondary Ski