Machine Learning Engineer (Azure ML)

Analytics, Regression analysis, Azure ML, Microsoft Windows Azure
Contract W2, Contract Corp-To-Corp, 12 Months
$70 - $80
Work from home available Travel not required

Job Description

We are looking for Machine Learning to join our new Data Analytics Initiatives. The ideal candidate should have 5 years of experience in data analytics and have a real-world experience bringing Machine Learning Algorithm into production using Azure Machine Learning.

Who we are:

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.

What will you do?

  • Prepare the raw data to be ready for analytics including cleaning, imputing and standarding data format
  • Write a model as designed by the Data Scientist. Taking account both performance and scalability aspects of the Model
  • Configure and optimize the analytics infrastructure in Azure
  • Create a production ready analytics package to be deployed in Azure via a Docker Container

What are we looking for?

  • Bachelor degree in Computer Science, Mathematics, or related fields
  • At least a total 5 years in a career related to data analytics and have an understanding of core Statistical Algorithm such as Classification, or Regression analysis
  • A candidate must have a real world experience Azure Machine Learning Implementation
  • Experience with Azure Data Bricks solution that includes: Azure ML library, Azure Kafka, Azure CosmosDB and Azure BlobStorage
  • Must have a high-level understanding of analytics use cases mentioned in one or more of the following: Assortment optimization, Promotional planning and effectiveness, Dynamic pricing, Markdown optimization, Labor scheduling & optimization
  • At least continuous 4 years of experience with Spark, especially pySpark implementation.
Dice Id : 10462843
Position Id : 6665515
Originally Posted : 2 months ago
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