Remote MLOps Engineer: Deploy & Scale ML Pipelines

Rapinno Tech; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Verizon is seeking a skilled MLOPS - Machine Learning Operations Engineer for a 100% remote, long term contract on C2C.

Ideal candidate has 3-5 years of experience, with strong CI/CD, ML pipelines, and Python skills. Familiarity with Big Data (Teradata, BigQuery) and cloud/container tech is a plus.

You will build and monitor AI/ML pipelines, deploy models, and ensure production reliability, security, and scalable infrastructure.

Qualifications

• 5+ years of experience in CI/CD, ML Pipelines, and Python.
• 3+ years of experience in Big Data (Teradata, BigQuery).

Responsibilities

• Creating, deploying, and monitoring AI/ML pipelines.
• Create and maintain the MLOps production infrastructure and services.
• Drive software development methods such as code profiling, regression testing, continuous integration, and push button deployments.
• Develop/maintain processes, tools, and documentation to support production.
• Ensure adequate infrastructure security.
• Address production issues.
• Assist in the evaluation of new software, hardware, and infrastructure solutions.
• Experience with scripting languages such as Python, Shell, SQL.

Skills

CI/CD

ML Pipelines

Python

Education

B.S. in Computer Science or related field

Tools

Teradata

BigQuery

AWS

Azure

GCP

Docker

Kubernetes

Job description

Verizon is seeking a skilled MLOPS - Machine Learning Operations Engineer for a 100% remote, long term contract on C2C.

Ideal candidate has 3-5 years of experience, with strong CI/CD, ML pipelines, and Python skills. Familiarity with Big Data (Teradata, BigQuery) and cloud/container tech is a plus.

You will build and monitor AI/ML pipelines, deploy models, and ensure production reliability, security, and scalable infrastructure.