Job Description
• Hands on experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
• Proven experience in developing and deploying machine learning solutions using SageMaker, Python, TensorFlow, PyTorch, Scikit-learn, or other frameworks and libraries.
• Solid understanding of machine learning concepts, techniques, and best practices such as data preprocessing, feature engineering, model selection, hyperparameter tuning, validation, testing, challenger models, and MLOps.
• Hands on experience in NLP use cases.
