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IAssess Consultants LLP
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Senior Cloud & ML Infrastructure Engineer - JG

Senior Cloud & ML Infrastructure Engineer - JG

IAssess Consultants LLP

6 years

5 - 17 Lacs

delhi india

Posted:6 days ago| Platform:

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Skills Required

ml design learning aws automation reliability devops engineering sagemaker inference model packaging compliance iam security data encryption storage analytics deployment docker networking terraform scripting python robotics iot diagnostics ros linux mqtt architecture

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

We are seeking a 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

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

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)

Nice to Have

Background in robotics infrastructure (AWS IoT Core, Greengrass, OTA deployments)
Experience with robot fleet telemetry, diagnostics, and real-time control
Familiarity with ROS 2, sensor data pipelines, and embedded Linux deployments
Exposure to edge inference, MQTT, and streaming workflows
Knowledge of frontend hosting for dashboards/APIs

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.
Skills: python,observability stacks,embedded linux deployments,prometheus,devops,iac,architecting,networking,aws,lambda,frontend hosting,ros 2,eks,ecr,ci/cd pipelines,cloudwatch,infrastructure,data pipelines,aws cdk,ml,iac frameworks,robot fleet telemetry,mqtt,terraform,greengrass,edge inference,grafana,lagom,automation,cloud,bash,iam security,ml infrastructure,aws sagemaker,ota deployments,robotics infrastructure,vpcs

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Senior Cloud & ML Infrastructure Engineer - JG