MLOPS - Machine Learning Operations Engineer

Rapinno Tech; Oregon (WI); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading tech company seeks a MLOPS - Machine Learning Operations Engineer for a remote role. You will develop and manage CI/CD pipelines for machine learning models, ensuring their performance and security in production. Candidates must have a strong background in CI/CD, ML pipelines, and Python, with at least 5 years of relevant experience. Familiarity with big data technologies and public cloud providers is essential, as well as skills in containerization and scripting. This position offers the chance to work with cutting-edge technologies and collaborate closely with data scientists.

Qualifications

• 5+ years of experience in CI/CD, ML pipelines, and Python.
• 3+ years of experience in Big Data technologies.
• Experience with a public cloud provider.

Responsibilities

• Create, deploy, and monitor AI/ML pipelines.
• Maintain MLOps production infrastructure.
• Drive software development methods like regression testing.
• Develop documentation to support production.
• Ensure infrastructure security.
• Address production issues.

Skills

CI/CD

Machine Learning Pipelines

Python

Education

B.S. in Computer Science or related field

Tools

Teradata

Bigquery

AWS

Azure

GCP

Docker

Kubernetes

Job description

MLOPS - Machine Learning Operations Engineer

About the job

Priority 1

Position: MLOPS - Machine Learning Operations Engineer

Location: 100% REMOTE

Duration: Long term contract on C2C

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 will 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!

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.