AI Engineer
AI Engineer
Posted on :
24-05-2025
Employer Active
1 Vacancy
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Job Description
Design implement and manage cloud infrastructure on AWS using Infrastructure as Code (IaC) tools such as Terraform or AWS and enhance CI/CD pipelines using tools like GitHub Actions AWS CodePipeline Jenkins or platform reliability scalability and high availability across development staging and production operational tasks environment provisioning and deployments using scripting languages such as Python Bash or and maintain Amazon SageMaker environments for scalable ML model training hosting and AWS Bedrock to provide foundation model access for generative AI applications ensuring security and cost and publish curated infrastructure templates through AWS Service Catalogue to enable consistent and compliant with security and compliance teams to implement best practices around IAM encryption logging monitoring and cost and manage observability tools like Amazon CloudWatch Prometheus/Grafana or ELK for monitoring and container orchestration environments using EKS (Kubernetes) ECS or to incident response post-mortems and continuous improvement of the platform operational Skills & Qualifications:Bachelors degree in Computer Science Engineering or related field (or equivalent experience).5plus years of hands on experience with AWS cloud experience with Terraform AWS CDK or in Linux system administration and networking understanding of IAM policies VPC design security groups and with Docker and container orchestration using Kubernetes (EKS preferred).Hands-on experience with CI/CD tools and version control (Git).Experience with monitoring logging and alerting troubleshooting skills and ability to work independently or in a Qualifications (Nice to Have):AWS Certification (e.g. AWS Certified DevOps Engineer Solutions Architect Associate/Professional).Experience with serverless technologies like AWS Lambda Step Functions and supporting machine learning or big data workloads on AWS.
Employment Type
Full-Time
Key Skills
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