Demo

100% Remote Role - AI/ML Cloud Engineer - Federal Client

Vinsys Information Technology Inc
Washington, DC Remote Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 5/27/2025

Job Description

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 cloud-native ML frameworks.
  • Knowledge of cybersecurity best practices for cloud AI / ML solutions.
  • Strong problem-solving and troubleshooting skills.
  • Preferred Qualifications :

  • Hands-on experience with LLMs and Retrieval-Augmented Generation (RAG) architectures.
  • Experience with MLOps, CI / CD pipelines, and automation tools.
  • Familiarity with Terraform, CloudFormation, or other infrastructure-as-code tools.
  • Background in AI governance, compliance, and security frameworks.
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