Description:
Expert-level Python development with additional exposure to R, Java, or C++. Strong ML/DL knowledge, including supervised, unsupervised, and reinforcement learning, plus experience with CNN and RNN architectures. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn. Data processing and feature engineering expertise, including data cleaning, transformation, and model validation. Database proficiency in both SQL and NoSQL environments. Big data experience
Feb 11, 2026;
from:
dice.com