W2 role || Urgent - MLOps/Platform Engineer || USC or GC

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Adarsh Sharma

<adarsh@staffxpertllc.com>
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11:44 AM (4 hours ago) 11:44 AM
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MLOps/Platform Engineer

Location: Columbus, OH , Dallas TX, Tupelo, MS and Minneapolis MN (Locals or Nearby to these Locations)

Visa: USC or GC

Duration: 3- 6 month Contract To Hire and Contract both on W2 only (No C2C)

 

Domain: Banking

Need Senior and Junior both someone with Data Science Infrastructure

 

Summary: 

We are seeking an experienced Platform Engineer who will be part of the Platform team managing the Data Science platform.

 

Job Responsibilities:

•    Support ongoing Data Science Infrastructure operations.

•    Develop and deploy AWS environments using CI/CD processes for a rapidly growing team of Data Scientists.

•    Manage and support large-scale environments to meet the needs of current and future Data Science teams.

•    Champion and mature the environment by implementing and overseeing the image management lifecycle process.

•    Assist in setting up and managing AWS accounts specifically for the Data Science platform.
 

Job Responsibilities:
•    Support ongoing Data Science Infrastructure operations.
•    Develop and deploy AWS environments using CI/CD processes for a rapidly growing team of Data Scientists.
•    Manage and support large-scale environments to meet the needs of current and future Data Science teams.
•    Champion and mature the environment by implementing and overseeing the image management lifecycle process.
•    Assist in setting up and managing AWS accounts specifically for the Data Science platform.
•    Provide hands-on development using CI/CD tools such as Azure DevOps.
•    Utilize Infrastructure as Code (IaC) tools such as Terraform for environment setup and management.
•    Develop scripts and applications using programming languages such as Python.
•    Manage database technologies including Athena, Oracle, MySQL, and Postgres.
•    Leverage AWS services essential for Data Lake, Data Science, AI/ML teams.
•    Handle and resolve requests from development and business users, addressing any roadblocks.
•    Manage secured infrastructure, enforce security measures, and apply necessary guard rails.
•    Resolve infrastructure vulnerabilities within SLAs and maintain audit logs.
•    Perform system upgrades and patching, providing on-call support as needed.
•    Conduct root cause analysis and knowledge transfer sessions with the internal team.
•    Collaborate with Network, Database, Infrastructure, and Architecture teams to align on projects and strategies.

 

Basic Qualifications:

•    Bachelor’s degree in computer science or a related field.

•    2+ years’ experience in Data Science Infrastructure. - MUST

•    2+ years extensive experience with Data Lake, Data Science, and AI/ML services hosted on AWS infrastructure.

•    2+ years working knowledge of the following technologies:

  • Kubernetes
  • AWS services such as SageMaker, Glue, Lambda, Athena
  • CI/CD tools like Azure DevOps
  • IaC tools like Terraform
  • Docker and ECR (Elastic Container Registry)
  • Security tools like AQUA and Kenna

•    2+ years’ experience in technical write-ups.


Preferred Qualifications:
•    AWS and Terraform certified professionals. Kubernetes or CKA
•    Familiarity with technical service management and product life cycle maintenance.
•    Knowledge of programming and scripting languages such as Python and shell scripting.
•    In-depth knowledge of database technologies like Athena, Oracle, MySQL.
•    Extensive experience with CI/CD and IaC tools such as Azure DevOps and Terraform

 

 

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