100 Remote Role - AIML Cloud Engineer - Federal Client
100 Remote Role - AIML Cloud Engineer - Federal Client
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1 Vacancy
Job Description
Job Summary:
We are seeking a highly skilled AIML Cloud Engineer to manage and support the AI/ML infrastructure in cloud environments. This role is responsible for ensuring seamless deployment security and operational efficiency of AI/ML solutions across AWS services. The ideal candidate will have experience with AWS ECR Airflow Streamlit containers AWS Bedrock and Copilot configuration as well as expertise in AI/ML tool assessment and cybersecurity remediation.
Key Responsibilities:
- Design implement and maintain AI/ML infrastructure in AWS Cloud.
- Manage and deploy AI/ML models using AWS ECR Airflow and Streamlit containers.
- Configure and optimize AWS Bedrock and Copilot for AI/ML applications.
- Assess and evaluate LLMs and AI/ML tools to drive innovation and efficiency.
- Support AI/ML operations ensuring performance scalability and security.
- Identify and remediate cybersecurity vulnerabilities related to AI/ML cloud infrastructure.
- Collaborate with data scientists DevOps and security teams to enhance AI/ML workflows.
- Stay updated with the latest advancements in cloud AI/ML technologies and best practices.
Required Qualifications:
- 5 years of experience in cloud engineering AI/ML infrastructure or DevOps.
- Strong proficiency with AWS services including ECR Airflow Bedrock and Copilot.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Understanding of AI/ML model deployment and cloudnative ML frameworks.
- Knowledge of cybersecurity best practices for cloud AI/ML solutions.
- Strong problemsolving and troubleshooting skills.
Preferred Qualifications:
- Handson experience with LLMs and RetrievalAugmented Generation (RAG) architectures.
- Experience with MLOps CI/CD pipelines and automation tools.
- Familiarity with Terraform CloudFormation or other infrastructureascode tools.
- Background in AI governance compliance and security frameworks.
Employment Type
Full Time
