ML Ops Engineer (Fully Remote)

PAR Technology; United States; Remote; USD 90,000 - 140,000; Full time

Job summary

PAR Technology is seeking a data engineer to partner with data science, taking models from notebooks to production. You will focus on building robust data and ML pipelines, tuning Spark jobs, and wiring up CI/CD for reliable match data.

The role emphasizes ownership, collaboration, and delivering production-ready solutions in a fast-paced SaaS environment.

Qualifications

• 2–4 years of experience building production data or ML systems.
• AWS, Spark, Airflow, MLflow and infrastructure as code (IaC) expertise.
• Strong ownership and collaboration.

Responsibilities

• Partner with data science to move models from notebooks to production.
• Build data and ML pipelines; tune Spark jobs, and implement reliable CI/CD for match data.

Skills

AWS

Spark

Airflow

MLflow

Infrastructure as Code

Tools

CI/CD tooling

Job description

• You will act as the engineering partner to data science, taking models from notebooks to monitored, automated production.
• Most of your week is spent building pipelines, tuning Spark jobs, and wiring up CI/CD for reliable match data.

What We're Looking For:

• 2–4 years of experience building production data or ML systems, with strong ownership and collaboration.
• Comfortable with AWS, Spark, Airflow, MLflow, and infrastructure as code.

AI in Your Workflow:

• Daily use of AI coding assistants like Claude Code, Cursor, or Copilot is expected.
• AI-generated code is held to the same review bar as your own; you read it, test it, and own it.

PAR Technology

PAR Technology is a leader in restaurant technology, providing software and hardware that help brands create guest connections and drive growth. Serving over 100,000 restaurants in 110+ countries, it fosters a collaborative 'Better Together' culture within its growing SaaS organization.