Snowflake ML Engineer

-          Strong programming skills in Python, R, or similar languages for machine learning and data analysis.

-          Deep knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, and XGBoost.

-          Strong foundation in linear algebra, probability, statistics, and optimization techniques.

-          Proficiency in algorithms and data structures.

-           Experience with deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and reinforcement learning.

-    &nb sp;      Familiarity with NLP techniques, computer vision, time series analysis, and other AI sub-domains.

-           Knowledge of data preprocessing, feature extraction, and feature selection techniques.

-          Proficiency in cloud platforms (AWS, Azure, Google Cloud) for model training and deployment.

-          Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.

-          Familiarity with big data technologies (Hadoop, Spark, etc.) is a plus.