MLOPS - Machine Learning Operations Engineer

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

PRIORITY 1 Position: MLOPS - Machine Learning Operations Engineer

Location: 100% REMOTE

Duration: Long term contract on C2C

Client: Verizon

Targeted Years of Experience: 3-5 years

The MLOPS engineer will be responsible for developing and managing the continuous integration and delivery pipeline for machine learning models. They will work with data scientists and engineers to automate the process of training, testing, and deploying models. They will also monitor the performance of the models in production and troubleshoot issues as needed. In this role, you have the opportunity to work with some of the latest technologies and tools to build scalable and reliable systems. If you are passionate about DevOps and machine learning, this is the role for you!

Core 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 a variety of scripting languages for automating tasks, generating reports, and creating tools (e.g. Python, Shell, SQL)

MUST HAVE SKILLS (Most Important)

• 5+ years of experience in CI/CD, ML Pipelines, and Python
• 3+ years of experience in Big Data, such as Teradata and Bigquery

DESIRED SKILLS

• Experience with a public cloud provider, such as AWS, Azure, or GCP
• Experience with containerization, such as Docker or Kubernetes

EDUCATION/CERTIFICATIONS

• B.S. in Computer Science or related field.