Job Description
Job title: AWS DevOps Engineer AI/ML & MLOps
Work Location: Tampa, FL
Job Description:
We are looking for an experienced AWS DevOps Engineer with strong expertise in Terraform, CI/CD automation, and AI/ML platform deployment. The ideal candidate will be responsible for building, automating, and managing scalable cloud infrastructure on AWS while enabling AI/ML workloads through robust DevOps practices. This role requires hands-on experience in Infrastructure as Code (IaC), containerization, cloud-native technologies, MLOps, and automation.
Key Responsibilities
Cloud Infrastructure & Automation
DevOps & CI/CD
AI/ML & MLOps
Containerization & Orchestration
Nice-to-Have
Work Location: Tampa, FL
Job Description:
We are looking for an experienced AWS DevOps Engineer with strong expertise in Terraform, CI/CD automation, and AI/ML platform deployment. The ideal candidate will be responsible for building, automating, and managing scalable cloud infrastructure on AWS while enabling AI/ML workloads through robust DevOps practices. This role requires hands-on experience in Infrastructure as Code (IaC), containerization, cloud-native technologies, MLOps, and automation.
Key Responsibilities
Cloud Infrastructure & Automation
- Design, deploy, and manage highly available and secure AWS cloud environments.
- Develop and maintain Infrastructure as Code (IaC) using Terraform.
- Automate cloud provisioning, configuration management, and environment setup.
- Implement cloud governance, security, compliance, and cost optimization strategies.
DevOps & CI/CD
- Design and manage CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline.
- Automate application deployments across development, testing, and production environments.
- Implement GitOps and DevSecOps best practices.
- Manage source control repositories and branching strategies.
AI/ML & MLOps
- Deploy, automate, and manage AI/ML solutions on AWS.
- Support ML lifecycle management, including model training, validation, deployment, and monitoring.
- Work with Amazon SageMaker for model development and deployment.
- Implement MLOps pipelines for continuous model integration and delivery.
- Collaborate with Data Scientists and AI Engineers to operationalize machine learning models.
Containerization & Orchestration
- Build and manage containerized workloads using Docker.
- Deploy and manage Kubernetes clusters using Amazon EKS.
- Implement Helm charts and Kubernetes best practices for scalable deployments.
- Monitoring & Security
- Configure monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, and ELK Stack.
- Implement IAM policies, security controls, secrets management, and vulnerability scanning.
- Monitor infrastructure health and optimize system performance.
Nice-to-Have
- Generative AI deployment experience using Amazon Bedrock, OpenAI, Anthropic, or Hugging Face models.
- Experience with LLM deployment, vector databases, and RAG architectures.
- Knowledge of LangChain, AI Agents, and AI workflow automation.
- Exposure to Data Engineering tools such as Glue, Athena, EMR, or Redshift.
- Experience implementing AI governance and model security frameworks.
Numbers & Facts
| Location | Tampa, FL |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | www.eteaminc.com |
About Company
Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.
Skills
- Amazon Web Services (AWS)unmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Automationunmatched
- Best Practicesunmatched
- Cloud Computingunmatched
- Computer Securityunmatched
- Configuration Managementunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Cost Controlunmatched
- Data Scienceunmatched
- Database Architectureunmatched
- DevOpsunmatched
- Dockerunmatched
- Electronic Medical Recordsunmatched
- GitHubunmatched
- High Availabilityunmatched
- Home Automationunmatched
- Jenkinsunmatched
- Machine Learningunmatched
- Management Strategyunmatched
- Model Validationunmatched
- Performance Tuning/Optimizationunmatched
- Policy Implementationunmatched
- Production Systemsunmatched
- Security Monitoringunmatched
- Software Developmentunmatched
- Source Code/Configuration Management (SCM)unmatched
- Test Plan/Scheduleunmatched
- Vulnerability Scannersunmatched
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