Bachelors degree in computer science Engineering Applied Mathematics or related field
4 to 6 years of strong experience with AWS Gov Cloud environments Export Control FedRAMP environments
Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data science
4 to 6 years of strong experience with the following machine learning topics classification clustering optimization deep learning NLP with Python in a programming intensive role
6 to 8 years of strong experience in Python PySpark coding
4 to 6 years of industry experience with popular ML frameworks such as Keras Tensorflow PyTorch Hugging Face Transformers and libraries like scikit-learn etc
4 to 6 years of experience with ClassicAI GenAI ML Model Operationalization in Production
4 to 6 years of strong experience in Azure Databricks AWS Databricks specializing in End-to-end MLOps architecture with practical expertise in Databricks Unity Catalog Mosaic AI serverless solutions MLOps stacks and Lakehouse monitoring among other areas
4 to 6 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc
4 to 6 years of experience with CICD Dev Ops process
Effective communication skills and succinct articulation
Experience working with remote and global teams and cross team collaboration
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