Position: Machine Learning Engineer

Location: Chicago, IL

Duration: 12 months

Description:

• To work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Azure ML.
• One can be an individual contributor or lead small teams depending on the project.
• You will be pivotal to understanding the requirement, problem definition and discovery of the overall solution.
• One will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components.
• Industry knowledge- Knows basics of machine learning, is aware of cloud services, Azure services, has a deep understanding of coding practices, knows how to guide teams on debugging the issues, can
  connect the dots to arrives at a solution and is very good at presentation of the ideas, thoughts and solutions.

Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to

• Python Programming - Expert and Experienced - 4 -5 years
• DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum
• Hands-On MS Azure Cloud knowledge
• Understand and take requirements on Operationalization of ML Models from Data Scientist
• Help team with ML Pipelines from creation to execution
• List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup
• Assist team to coding standards (flake8 etc)
• Guide team to debug on issues with pipeline failures
• Engage with Business / Stakeholders with status update on progress of development and issue fix
• Automation, Technology and Process Improvement for the deployed projects
• Setup Standards related to Coding, Pipelines and Documentation
• Adhere to KPI / SLA for Pipeline Run, Execution
• Research on new topics, services and enhancements in Cloud Technologies