MLOps Engineer (Python) — Automate ML Pipelines

Action tech; United States; Hybrid; USD 90,000 - 120,000; Full time

Job summary

Action tech seeks an MLOps Developer to automate ML processes and manage data pipelines in a growth‑oriented environment. The role emphasizes practical Python scripting and version control with Git to accelerate ML workflows.

You will automate ML workflows, prepare clean datasets, develop scripts for data scraping, and configure CI processes for ML tasks to sustain a robust AI infrastructure and seamless deployment from development to production.

Qualifications

• Mid-level MLOps experience with Python and Git.
• Experience automating ML workflows and data pipelines.
• Ability to configure CI processes for ML tasks.

Responsibilities

• Automate ML workflows and manage data pipelines.
• Develop scripts for data scraping and data collection.
• Configure CI processes for ML tasks to support deployment.
• Maintain and improve ML infrastructure for reliability.

Skills

Python

Git

ML pipelines

Data scraping

Tools

CI/CD

Job description

Action tech seeks an MLOps Developer to automate ML processes and manage data pipelines in a growth‑oriented environment. The role emphasizes practical Python scripting and version control with Git to accelerate ML workflows.

You will automate ML workflows, prepare clean datasets, develop scripts for data scraping, and configure CI processes for ML tasks to sustain a robust AI infrastructure and seamless deployment from development to production.