MLOps Engineer to work on AWS GovCloud Databricks - 100% Remote

  • Posted 4 hours ago | Updated 4 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Machine Learning Operations (ML Ops)
Databricks
Amazon Web Services
Machine Learning (ML)
FedRAMP
AWS Gov Cloud
Natural Language Processing
Python
Apache Spark
Deep Learning
DevOps
Data Science

Job Details

Job Title: MLOps Engineer to work on AWS GovCloud Databricks

Location: Remote

Hire Type: Contract

Duration: 6+ months

Responsibilities:

  • Bachelor's degree in Computer Science, Engineering, Applied Mathematics or related field
  • Have 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, optimisation, 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, HuggingFace, Transformers and libraries like scikit-learn, etc
  • 4 to 6 years of experience with ClassicAIGenAI ML Model Operationalisation in Production
  • 4 to 6 years of strong experience in Azure Databricks, AWS Databricks, specialising in End-to-End MLOps architecture with practical expertise in Databricks Unity Catalogue, 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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