MLOps Developer (Python)

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. This role is ideal for middle-level professionals skilled in Python and git who thrive in a flexible, growth-oriented environment.

As an MLOps Developer at Action tech, you will focus on automating machine learning workflows and preparing clean datasets. Your responsibilities include developing scripts for data scraping and configuring CI processes for ML tasks, which are essential for maintaining a robust ML infrastructure.

You will collaborate with a team that values contributions and is driven by ambitious projects. Success in this role means effectively automating processes and ensuring a smooth transition from development to deployment, ultimately enhancing the company's AI capabilities.