Description:
- Experience: 7-10 - Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable. - Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs. - AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. - Data Science and Analysis: Skills in data acquisition, c
Feb 12, 2026;
from:
dice.com