MLOps Engineer

 Job Description

Job Title: MLOps Engineer to work on AWS GovCloud.

 Responsibilities: - 4 to 6 years of strong experience with AWS Gov Cloud environments. - Experience with Export Control and FedRAMP environments. - Overall 8 to 10 years of solid experience in the areas of data engineering, machine learning, and data science. - 4 to 6 years of strong experience with machine learning topics including classification, clustering, optimization, deep learning, and NLP with Python in a programming-intensive role. - 6 to 8 years of strong experience in Python and PySpark coding. - 4 to 6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers, and libraries like scikit-learn. - 4 to 6 years of experience with Classic AI, Gen AI, and ML Model Operationalization in Production. - 4 to 6 years of strong experience in Azure Databricks and 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 and the Kubernetes ecosystem. - 4 to 6 years of experience with CI/CD and DevOps processes. - Effective communication skills and succinct articulation. - Experience working with remote and global teams and cross-team collaboration.