Description

You will design, implement, and manage scalable, secure, and cost-efficient cloud architectures on AWS, integrating AI/ML capabilities to drive business outcomes.

Responsibilities

• Design and implement end-to-end AWS cloud architectures aligned with enterprise goals.
• Deploy AI/ML workloads on AWS using services like SageMaker, Bedrock, Comprehend, and Lex.
• Oversee infrastructure automation using Terraform, AWS CloudFormation, or CDK.
• Implement data pipelines and MLOps frameworks for continuous model deployment and monitoring.
• Ensure compliance with AWS Well-Architected Framework across security, cost, and performance.

Required Skills

• 10+ years of IT experience, with 5+ years in AWS cloud architecture.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Strong experience in AI/ML design, deployment, and integration within AWS.
• Deep expertise in AWS Services: EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB, VPC, CloudFront, CloudWatch, IAM.
• Expertise with AI/ML Services: SageMaker, Bedrock, Comprehend, Rekognition, Transcribe, Lex.
• Proficiency in automation tools: Terraform, CDK, CloudFormation, Jenkins, GitHub Actions, CI/CD.
• Strong understanding of Python, PyTorch/TensorFlow, and data pipeline architecture.
• Experience with containerization and orchestration (Docker, Kubernetes).

Key Skills

Education

Any Graduate