Senior Devops (ML) Engineer

Job description

Key Responsibilities:

• 
  
  AWS Services: Expertise in designing, deploying, and managing scalable
  cloud infrastructure using AWS. 
• Terraform: Proficiency in Infrastructure as Code (Terraform) to automate
  resource provisioning and management. 
• CI/CD Pipelines: Implementation of continuous integration and
  deployment workflows for seamless application delivery. 
• MLOps Best Practices: Knowledge of machine learning operations,
  including model deployment, monitoring, and automation. 
• Amazon Bedrock: Leverage Amazon Bedrock for integrating and
  optimizing generative AI solutions to enhance AI-driven applications.

Personal Characteristics

• 
  
  Strong portfolio and excellent attitude. 
• Must be self-confident to work in a Team and to
  handle the responsibilities individually as well 
• Should be a good listener/ Can articulate well /
  Good Communication Skills 
• Ability to work with teams across organizational
  boundaries, different cultures and different time
  zones in a virtual environment 
• Delivery oriented and able to work under strict
  deadlines.