MLOps Engineer GovCloud Exp - 100% Remote ()

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 9 Month(s)
No Travel Required

Skills

aws
Databricks
Machine Learning
PySpark
NLP
ML Modelling
Optimization
Gov Cloud

Job Details

Location: Atlanta, GA (Remote)

Duration: 9+ Months, with extension or Possible Contract To Hire after 3 Months

If Strong in MLOps, NLP, PySpark, ML Modelling and Optimization on AWS then will consider without Gov Cloud experience.

Standard Job Description:

  • Bachelor's degree in computer science, Engineering, Applied Mathematics or related field.
  • 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.
  • Effective communication skills and succinct articulation.
  • Experience working with remote and global teams and cross team collaboration.

Best Regards,

Chetna

-D

-Fax

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