Remote ML Ops Engineer — Cloud Data Pipelines & AI Systems

PAR Technology; New York (NY); Remote; USD 125,000 - 160,000; Full time

Job summary

PAR Technology Corporation in the restaurant tech space seeks an ML Ops Engineer to partner with a data science team. You’ll help take Bridg’s identity resolution model from notebooks to monitored production, building pipelines, tuning Spark jobs, wiring CI/CD, and documenting the system.

We operate in a cloud-first environment on AWS and Snowflake, using Spark, Python, MLflow, and related tools. Ideal candidates are collaborative, ownership-driven, and able to thrive in a fast-moving SaaS

Qualifications

• Bachelor’s degree in CS/Data Eng or equivalent practical experience.
• Strong ownership, curiosity, and accountability.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Build production data/ML pipelines and automate tests.
• Tune Spark jobs and optimize CI/CD for data/ML.
• Collaborate with data science team and ensure observability at scale.

Skills

Ownership mindset

Cross-functional collaboration

Strong communicator

Curious learner

Education

Bachelor’s degree in CS/Data Eng

Tools

Spark

Python

MLflow

Airflow

Databricks Workflows

Terraform

Docker

Snowflake

AWS

Job description

PAR Technology Corporation in the restaurant tech space seeks an ML Ops Engineer to partner with a data science team. You’ll help take Bridg’s identity resolution model from notebooks to monitored production, building pipelines, tuning Spark jobs, wiring CI/CD, and documenting the system.

We operate in a cloud-first environment on AWS and Snowflake, using Spark, Python, MLflow, and related tools. Ideal candidates are collaborative, ownership-driven, and able to thrive in a fast-moving SaaS