AI ML Engineer (NM+)
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
Core Technical Expertise:
Strong software development experience (software engineering principles, algorithms, and data structures) with proficiency in Python.
Strong foundations in mathematics for ML and ML Algorithms (regression, tree ensembles, SVMs, clustering, time series), feature selection (PCA, mutual information), and model interpretability.
Hands-on experience with deep learning architectures (CNNs, RNNs, LSTMs, Transformers), training optimization (regularization, gradient clipping, learning rate scheduling), and advanced loss functions (contrastive, triplet).
Ability to break down design requirements and propose innovative, scalable solutions.
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