ML Ops Engineer: Real-Time ML Pipelines & Deployments

Thenewyorktimes; New York (NY); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) plan

Paid vacation and sick days

Job summary

Thenewyorktimes is seeking an MLOps Engineer to enhance the machine learning lifecycle. You will automate model training and deployment while collaborating with data scientists and engineers.

This role offers an annual base pay range of $110,000 to $130,000 USD, along with various benefits including medical, dental, and a 401(k) plan. Strong commitment to journalistic independence is essential.

Qualifications

• 2+ years of software engineering or DevOps experience with a focus on MLOps, automation, and infrastructure.
• 2+ years of experience programming in Python or Go.
• Experience building and managing CI/CD pipelines.

Responsibilities

• Build and automate ML pipelines for automated model training and validation.
• Productionalize models by packaging and deploying ML services.
• Implement and manage monitoring for production models.

Skills

MLOps

Automation

Infrastructure

Python

Go

Tools

Docker

Kubernetes

AWS

GCP

Job description

Thenewyorktimes is seeking an MLOps Engineer to enhance the machine learning lifecycle. You will automate model training and deployment while collaborating with data scientists and engineers.

This role offers an annual base pay range of $110,000 to $130,000 USD, along with various benefits including medical, dental, and a 401(k) plan. Strong commitment to journalistic independence is essential.