Senior MLOps Engineer — Production ML Pipelines (Remote)

Employee Relations Associates, Inc.; Atlanta, Northern (GA, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Short-term disability

401(k)

Job summary

Employee Relations Associates, Inc. seeks a Senior ML Ops Engineer to support machine learning initiatives within Pricing and Merchandising. The role collaborates with Data Scientists to productionize models, build pipelines, and deploy ML solutions using cloud platforms.

The ideal candidate has strong Python and SQL skills, experience with CI/CD, and a track record of delivering production-grade ML pipelines. Remote work options are available for this senior role.

Qualifications

• Strong Python programming experience.
• Strong SQL skills.
• Software engineering experience.
• Experience with CI/CD.
• Experience building or supporting production data/ML pipelines.
• Experience working with Data Science teams.
• Strong problem-solving and communication skills.

Responsibilities

• Move machine learning models from Data Science into production.
• Build and maintain ML pipelines and production applications.
• Develop and support CI/CD processes.
• Use Airflow or similar tools for workflow orchestration.
• Deploy models using GCP Vertex AI, AWS SageMaker, or similar platforms.
• Work closely with Data Scientists and Software Engineers.
• Write and optimize SQL queries and data processes.
• Troubleshoot production issues and improve existing ML workflows.
• Apply software engineering best practices to ML development and deployments.

Skills

Python

SQL

CI/CD

Production pipelines

Data Science collaboration

Tools

Airflow

GCP Vertex AI

AWS SageMaker

Job description

Employee Relations Associates, Inc. seeks a Senior ML Ops Engineer to support machine learning initiatives within Pricing and Merchandising. The role collaborates with Data Scientists to productionize models, build pipelines, and deploy ML solutions using cloud platforms.

The ideal candidate has strong Python and SQL skills, experience with CI/CD, and a track record of delivering production-grade ML pipelines. Remote work options are available for this senior role.