Cloud Engineer- AI/ML (Ghaziabad)

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. - Robust 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.