Machine Learning (Azure)

Company: Aditi Staffing LLC
Location: Bellevue, Washington, United States
Type: Full-time
Posted: 03.SEP.2021
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Summary

Azure Cloud & ML Ops Engineer/Architect Bellevue, WA, remote option available. Long Term Contract Extras: Functions: * Operationalize M...

Description

Azure Cloud & ML Ops Engineer/Architect

Bellevue, WA, remote option available.

Long Term Contract

Extras:

Functions:

  • Operationalize ML
  • Build End to end ML Models
  • Monitor Deployed ML models
  • Optimize ML/AI Models

Skills:

  • MLOPs, Python, C++/Java, Scala
  • Scikit, Spark, Tensor flow, Azure
  • Hadoop, Kafka, Cassandra
  • Databricks

Job Description:

Azure Cloud & ML Ops Engineer/Architect responsible for deploying Kubernetes, managing Spark ETL and deploy ML models using MLFlow.

We are looking for you to join our team as a Kubernetes, Spark, and MLFlow Engineer to design, build and implement cloud-native ML architectures with Kubernetes and Spark technologies for our customers.

Responsibilities:

  • Design and deploy distributed systems using Azure Kubernetes, Spark, SQL and MLFlow.
  • Deploy and manage Azure event streams, Azure functions, and Event HUB.
  • Design and deploy scripts to manage Azure services and resources.
  • Drive Azure DevOps for ML and CI/CD

Skills:

  • Azure
  • 5+ years' experience in designing and implementing modernized architectures and automation using cloud infrastructure technologies with focus on containers/Kubernetes (Dockers, Azure Kubernetes Service, Spark, and MLFlow).
  • Must be well versed on general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
  • Must be well versed in ML Ops and DevOps
  • Programming language skills in SQL and Python or Scala; C# and PowerShell are nice to have.
  • Excellent knowledge of Cloud Technology and Microservices.
  • Knowledge of Linux software packaging, distribution, and configuration.
  • Strong organizational and time-management abilities.
  • Deep technical acuity and understanding of Microsoft Azure technologies
  • BA/BS Degree in a technical field
  • Additional Azure certifications will be a bonus.
  • Master's degree is always a valued bonus!
- provided by Dice

 
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