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Cloud Engineer- AI / ML

Cloud Engineer- AI / ML

Intuition IT – Intuitive Technology RecruitmentGuntur, IN
6 days ago
Job description

JD Key Responsibilities :

  • Design, deploy, and manage scalable ML and GenAI workloads using AWS services, including SageMaker Studio and Bedrock.
  • Implement and maintain infrastructure using AWS Lambda, EKS, ECS on Fargate, and EC2.
  • Collaborate with data scientists and ML engineers to operationalize ML models and GenAI pipelines.
  • Integrate and manage data platforms such as Databricks and Snowflake for AI / ML workflows.
  • Automate infrastructure provisioning and deployment using Terraform and Jenkins.
  • Develop and maintain Python-based automation scripts and ML / GenAI utilities.
  • Monitor, troubleshoot, and optimize cloud-based applications and services.
  • Ensure security, compliance, and cost-efficiency across cloud environments.

Required Skills & Qualifications :

  • 7–9 years of hands-on experience in AWS Cloud architecture and operations.
  • Strong expertise in SageMaker Studio and AWS Bedrock for ML and GenAI enablement.
  • Proficiency in container orchestration using EKS, ECS (Fargate), and Docker.
  • Experience with serverless computing using AWS Lambda.
  • Solid understanding of EC2, IAM, VPC, CloudWatch, and other core AWS services.
  • Familiarity with Databricks and Snowflake for data engineering and analytics.
  • CI / CD experience using Jenkins and Infrastructure as Code (IaC) with Terraform.
  • Strong programming skills in Python.
  • Excellent problem-solving, communication, and collaboration skills.
  • Preferred Qualifications :

  • AWS Certified Solutions Architect / DevOps Engineer / Machine Learning Specialty.
  • Experience with MLOps and GenAI lifecycle management.
  • Exposure to multi-cloud environments or hybrid cloud setups.
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    Cloud Engineer • Guntur, IN

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