MLOps Engineer: Build Robust Pipelines & Production ML

Eqvilent; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Eqvilent is seeking a middle-level MLOps Engineer to strengthen ML model pipelines and ensure data quality. The role emphasizes a strong Python background and familiarity with MLOps practices.

You will design and build ELT pipelines for data processing and analysis, implement automated MLOps pipelines for retraining and validation, and apply CI/CD practices for smooth model deployment. You will collaborate with an international team and have opportunities for growth.

Qualifications

• Strong Python background.
• Familiarity with MLOps practices.
• Experience designing ELT pipelines for data processing and analysis.
• Experience implementing CI/CD for model deployment.
• Experience building monitoring systems for production models.

Responsibilities

• Design and build ELT pipelines for data processing and analysis.
• Create automated MLOps pipelines for retraining and validation of models.
• Implement CI/CD practices for smooth model deployment.
• Develop monitoring to track model performance in production.

Skills

Python

MLOps

ELT pipelines

CI/CD

Data quality

Monitoring

Tools

Grafana

Prometheus

Job description

Eqvilent is seeking a middle-level MLOps Engineer to strengthen ML model pipelines and ensure data quality. The role emphasizes a strong Python background and familiarity with MLOps practices.

You will design and build ELT pipelines for data processing and analysis, implement automated MLOps pipelines for retraining and validation, and apply CI/CD practices for smooth model deployment. You will collaborate with an international team and have opportunities for growth.