Senior LLMOps/MLOps Engineer - Multi-Cloud AI Infra

Sedgwick; Atlanta (GA); Remote; USD 120,000 - 150,000; Full time

Job summary

A global technology firm is seeking a skilled engineer focused on AI initiatives to own the production lifecycle of automated infrastructure. The ideal candidate will possess extensive experience in MLOps within cloud environments, bridging legacy systems with AWS and Azure services. Responsibilities include building CI/CD pipelines, data connectivity, and observability monitoring to ensure high-quality deployments. A bachelor’s degree along with deep proficiency in Python, SQL, and cloud services is required for this role.

Qualifications

• 6+ years of engineering experience, with a minimum of 3 years focused on MLOps.
• Proficiency in AWS and Azure ecosystem, configuring Bedrock and OpenAI services.
• Professional experience with evaluation frameworks like LangSmith, Arize Phoenix.

Responsibilities

• Build and maintain automated CI/CD and Continuous Training pipelines.
• Implement infrastructure for Retrieval-Augmented Generation (RAG).
• Deploy real-time monitoring for model drift and latency.

Skills

AWS & Azure Mastery

Expert Python

Containerization (Docker, Kubernetes)

SQL

PySpark

Statistical validation understanding

Education

Bachelor’s degree in Computer Science

Master’s degree in a quantitative discipline

Tools

Terraform

CloudFormation

Airflow

Kubeflow

Step Functions

Job description

A global technology firm is seeking a skilled engineer focused on AI initiatives to own the production lifecycle of automated infrastructure. The ideal candidate will possess extensive experience in MLOps within cloud environments, bridging legacy systems with AWS and Azure services. Responsibilities include building CI/CD pipelines, data connectivity, and observability monitoring to ensure high-quality deployments. A bachelor’s degree along with deep proficiency in Python, SQL, and cloud services is required for this role.