Develop and maintain production ML pipelines for data ingestion, training, validation, and
Identify and fix performance bottlenecks in ML training and inference
Collaborate with software engineers to integrate ML solutions into products and services
Collaborate with data scientists to transition research prototypes into scalable solutions
Collaborate with MLOps and platform teams to integrate effectively with current tools
Support and encourage good engineering practices on product ML teams

🎯 Requirements

5+ years of experience as an engineer working in the machine learning domain
Strong Python programming skills
Experience with the full machine learning model lifecycle in production flows
Experience leveraging big data to create pipelines needed to feed models with appropriate data
Strong understanding of software engineering practices, data engineering, and MLOps principles
Knowledge of data science, statistics, and machine learning techniques

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Get alerts for new remote data jobs

A weekly email with new matches. Unsubscribe anytime.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot