AWS GovCloud Databricks

MLOps Engineer To Work On AWS GovCloud Databricks

Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field

This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.

4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments

Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science.

4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.

6-8 years of strong experience in Python / PySpark coding

4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).

4-6 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, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas.

4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.

4-6 years of experience with CI/CD Dev Ops process.