ML Ops Engineer (AWS GovCloud Databricks) - Remote - W2 only

  • Posted 5 hours ago | Updated 5 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

ML
AWS
Govcloud
python
pyspark
NLP
Databricks

Job Details

Position: ML Ops Engineer (AWS GovCloud Databricks)
Duration: 12+ months contract
Location: Charlotte, NC (100% remote)

JOB DESCRIPTION

SKILLS NEEDED :

  • Bachelor's 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 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 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, MosaicAI 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 DevOps process
  • Effective communication skills and succinct articulation

Experience working with remote and global teams and cross-team collaboration

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