Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
Must have experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure.
Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (., Pandas, NumPy).
Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems.
Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn.
Should have experience in SQL.
Should have understanding of MLOps and at least one deployment using some of the following technologies: MLflow, Kubeflow, Docker...
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