AI/ML Operations Engineer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

AWS
MLOps
ML
AI
Python
GIT
Devops
Machine Learning Operations (ML Ops)
Machine Learning (ML)
LangChain

Job Details

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.