Remote MLOps Engineer: Data Pipelines & Cloud AI

PAR Technology; Pennsylvania; Remote; USD 125,000 - 160,000; Full time

Job summary

PAR Technology is seeking an ML Ops Engineer to partner with a data science team, taking notebooks to production with scalable pipelines, tests, and observability. You will work in a fast-moving SaaS environment on AWS/Snowflake, using Spark, Python, MLflow, and related tooling.

Strong ownership and collaboration are essential for success. The role emphasizes building automated pipelines, tuning jobs, and enabling reliable data processing across the platform, with a focus on maintainability and

Qualifications

• 2–4 years of experience building production data or ML systems.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience).
• Strong sense of ownership and accountability; good communicator.

Responsibilities

• Build and maintain automated data/ML pipelines, tests, and observability.
• Advance CI/CD for data/ML workloads (pytest, branch-based promotions).
• Collaborate with data science teams to deploy production models at scale.

Skills

Production data systems

ML systems

Communication

Collaboration

Ownership

Education

Bachelor’s degree in CS/Data Eng or related field

Tools

Spark

Python

MLflow

Airflow

Terraform

Docker

Snowflake

Job description

PAR Technology is seeking an ML Ops Engineer to partner with a data science team, taking notebooks to production with scalable pipelines, tests, and observability. You will work in a fast-moving SaaS environment on AWS/Snowflake, using Spark, Python, MLflow, and related tooling.

Strong ownership and collaboration are essential for success. The role emphasizes building automated pipelines, tuning jobs, and enabling reliable data processing across the platform, with a focus on maintainability and