AI Ops Engineer

Net2Source•Reston, VA
•Onsite

About The Position

We are seeking an experienced AI Ops Engineer to join our team. This role focuses on the operational aspects of AI/ML, leveraging your skills in Python, LangChain, and AWS. You will be responsible for developing, deploying, and maintaining AI/ML solutions, ensuring their reliability and efficiency. The ideal candidate will have a strong background in AI Development, MLOps, and cloud operations, with a passion for automation and innovation.

Requirements

  • Experience in AI Development, MLOps, or a similar role with a focus on AI/ML operations.
  • Proficiency in Python for scripting, automation, and backend development.
  • Hands-on experience with agentic tools or frameworks (e.g., LangChain, AutoGen, or similar concepts for building autonomous agents).
  • Solid experience integrating AI agents with various data sources, including Elasticsearch, SQL and NoSQL databases, as well as platforms like Jira, Confluence (Wiki), and Git.
  • Demonstrable experience with AWS operational support, including a deep understanding of core AWS services.
  • Proficiency in Infrastructure as Code (IaC) using either Terraform or Ansible.
  • Experience with CI/CD pipelines and version control systems (e.g., Git).
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
  • Strong communication and collaboration abilities, with the capacity to explain complex technical concepts to diverse audiences.
  • Ability to work independently and as part of a cross-functional team in a fast-paced environment.

Responsibilities

  • Develop and maintain AI/ML operational workflows.
  • Implement and manage CI/CD pipelines for AI/ML models.
  • Integrate AI agents with various data sources and platforms.
  • Provide operational support for AWS infrastructure.
  • Utilize Infrastructure as Code (IaC) for managing cloud resources.
  • Collaborate with cross-functional teams to deliver AI solutions.
  • Troubleshoot and resolve issues in production environments.
  • Document technical processes and solutions.
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