Experience in building data solutions, applications and API using Databricks, SQL/NoSql, Python, Java, Scala, Spark Experience building Data Engineering and Machine Learning Operations pipeline/flows in AWS cloud using infrastructure as code Proven experience in developing and deploying machine learning models in production environments using AWS ML Stack (e.g., SageMaker, Personalize, Comprehend, Rekognition) and Open Source ML Stack (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Experience with MLOps tools and practices, including continuous integration, continuous deployment, and model monitoring. Experience with Agile development processes with Test Driven Development and/or Test Automation
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