AI / ML Engineer

Proficiency in Python and ML libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Strong understanding of Machine Learning algorithms, statistics, and probability Hands-on experience with end-to-end ML workflows and model evaluation techniques Familiarity with MLOps tools: MLflow, Kubeflow, D