ML Infrastructure Architect

8 hours ago


Pune, Maharashtra, India beBeeEngineer Full time US$ 12,00,000 - US$ 15,00,000

Senior Cloud Engineer Job Opportunity

Job Description:

We are seeking a skilled Senior Cloud & ML Infrastructure Engineer to design, scale, and optimize cloud-native machine learning platforms. The role involves architecting large-scale ML systems on AWS, building automation for deployments, and ensuring production-grade reliability. You will work closely with cross-functional teams, bridging DevOps, ML, and backend engineering to enable scalable, cost-efficient, and secure ML infrastructure.

Key Responsibilities include:

  • Architect and manage end-to-end ML infrastructure using AWS SageMaker, Step Functions, Lambda, and ECR.
  • Build highly available, multi-region AWS solutions for real-time inference & batch processing.
  • Develop reproducible infrastructure with AWS CDK & IaC best practices.
  • Establish CI/CD pipelines for ML model packaging, validation, and monitoring.
  • Ensure compliance, IAM security, and data protection (encryption in transit & at rest).
  • Optimize compute & storage usage for performance and cost efficiency.
  • Integrate ML infrastructure with data lakes and analytics platforms.
  • Mentor engineering teams on AWS adoption and infrastructure best practices.

Required Skills & Qualifications:

  • 6+ years in AWS cloud infrastructure design & deployment at scale.
  • Strong experience with ML pipelines (SageMaker, ECS/EKS, or custom Docker workflows).
  • Expertise in networking, IAM, VPCs, and AWS security practices.
  • Proficiency with IaC frameworks (AWS CDK/Terraform) & automation tools.
  • Advanced scripting in Python, Go, or Bash.
  • Hands-on with observability stacks (CloudWatch, Prometheus, Grafana).

This is an exciting opportunity for an engineer passionate about scalable ML systems, AWS architecture, and platform reliability, with scope to contribute to next-generation ML & robotics infrastructure.



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