MLOps Engineer: Scalable ML Pipelines in Production

Tech Mirrors; Minneapolis (MN); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Tech Mirrors in Minneapolis, MN is seeking an experienced MLOps Engineer to build, deploy, and maintain scalable ML systems and pipelines. You will collaborate with data scientists, software engineers, and stakeholders to integrate models into production environments.

Ideal candidates bring hands-on experience with Python, GCP, Vertex AI, Cloud Build, BigQuery, and containerization. This role is hybrid in Minneapolis and offers the chance to optimize ML workflows and governance.

Qualifications

• 8 years of experience in MLOps or ML engineering.
• Design, develop, and maintain scalable ML pipelines.
• Deploy and monitor ML models in production.
• Collaborate with cross-functional teams to operationalize ML solutions.

Responsibilities

• Design, develop, and maintain scalable ML pipelines and workflows.
• Deploy and monitor machine learning models in production
• Collaborate with cross-functional teams to operationalize ML solutions
• Ensure reliability, scalability, and performance of ML systems
• Implement best practices for model versioning, monitoring, and governance
• Optimize infrastructure and workflows for cost and efficiency

Skills

Python

ML Ops

Machine Learning Lifecycle

Model Deployment

Collaboration

Tools

GCP

Vertex AI

Cloud Build

BigQuery

Docker

Job description

Tech Mirrors in Minneapolis, MN is seeking an experienced MLOps Engineer to build, deploy, and maintain scalable ML systems and pipelines. You will collaborate with data scientists, software engineers, and stakeholders to integrate models into production environments.

Ideal candidates bring hands-on experience with Python, GCP, Vertex AI, Cloud Build, BigQuery, and containerization. This role is hybrid in Minneapolis and offers the chance to optimize ML workflows and governance.