MLOps Engineer to work on AWS GovCloud Databricks-W2

  • Posted 4 hours ago | Updated 4 hours ago

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Unable to Provide Sponsorship

Skills

Amazon Web Services
FedRAMP
Keras
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Deep Learning
Databricks
Python
PyTorch
Stacks Blockchain
PySpark

Job Details

Responsibilities:

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 scikitlearn etc

4 to 6 years of experience with ClassicAIGenAI 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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