Senior LLMOps/MLOps Engineer — Multi-Cloud CI/CD

Sedgwick; Orlando (FL); On-site; USD 110,000 - 150,000; Full time

Job summary

A leading company in data transformation seeks a skilled engineer to manage the lifecycle of AI initiatives in a production environment. This role requires expertise in AWS and Azure, strong Python and SQL skills, and extensive experience in building automated infrastructure. The ideal candidate has a Bachelor's degree in Computer Science, 6+ years of engineering experience, and a proven ability to optimize models and manage data pipelines effectively. Join a diverse workplace that values unique skills and experiences.

Qualifications

• 6+ years of engineering experience, 3+ years in MLOps or LLMOps.
• Deep hands-on proficiency in AWS and Azure ecosystems.
• Expert in Python, SQL, and PySpark.

Responsibilities

• Build and maintain automated CI/CD and CT pipelines.
• Implement systems for LLM evaluations and ML validations.
• Manage AI resources securely with Terraform or CloudFormation.

Skills

AWS proficiency

Azure proficiency

Python

SQL

PySpark

Docker

Kubernetes

MLOps

Data pipeline management

Version control

Education

Bachelor’s degree in Computer Science

Master’s degree in a quantitative discipline

Tools

Terraform

CloudFormation

Palantir

Databricks

Snowflake

Job description

A leading company in data transformation seeks a skilled engineer to manage the lifecycle of AI initiatives in a production environment. This role requires expertise in AWS and Azure, strong Python and SQL skills, and extensive experience in building automated infrastructure. The ideal candidate has a Bachelor's degree in Computer Science, 6+ years of engineering experience, and a proven ability to optimize models and manage data pipelines effectively. Join a diverse workplace that values unique skills and experiences.