Senior Cloud

4 days ago

Mohali, Punjab, India IAssess Consultants LLP Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Senior Cloud & ML Infrastructure Engineer
Location:
Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi
Experience: 6–10+ Years
Night Shift - 9 pm to 6 am
About The Role
We're looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,

scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal for

someone passionate about solving complex platform engineering challenges across AWS, with

a focus on model orchestration, deployment automation, and production-grade reliability. You'll

architect ML systems at scale, provide guidance on infrastructure best practices, and work

cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities

  • Architect and manage end-to-end ML infrastructure using SageMaker, AWS Step

Functions, Lambda, and ECR

  • Design and implement multi-region, highly-available AWS solutions for real-time

inference and batch processing

  • Create and manage IaC blueprints for reproducible infrastructure using AWS CDK
  • Establish CI/CD practices for ML model packaging, validation, and drift monitoring
  • Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, and

compliance standards

  • Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale
  • Collaborate on data lake and analytics integration
  • Serve as a technical mentor and guide AWS adoption patterns across engineering

teams

Required Skills

  • 6+ years designing and deploying cloud infrastructure on AWS at scale
  • Proven experience building and maintaining ML pipelines with services like SageMaker,

ECS/EKS, or custom Docker pipelines

  • Strong knowledge of networking, IAM, VPCs, and security best practices in AWS
  • Deep experience with automation frameworks, IaC tools, and CI/CD strategies
  • Advanced scripting proficiency in Python, Go, or Bash
  • Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice To Have

  • Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA

deployments

  • Experience designing systems for physical robot fleet telemetry, diagnostics, and control
  • Familiarity with multi-stage production environments and robotic software rollout

processes

  • Competence in frontend hosting for dashboard or API visualization
  • Involvement with real-time streaming, MQTT, or edge inference workflows
  • Hands-on experience with ROS 2 (Robot Operating System) or similar robotics

frameworks, including launch file management, sensor data pipelines, and deployment

to embedded Linux device

Skills: sagemaker,ci,ros,aws,lambda,aws step functions,cloud,pipelines,ml,cd

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