Eqvilent is hiring a
MLOps Engineer

Summary

Join our team as an experienced MLOps Engineer to improve pipelines for training machine learning models, process and check data quality, test models, and build model monitoring systems.

Requirements

• Strong knowledge of Python
• Familiarity with Docker
• Basic understanding of machine learning concepts and techniques

Responsibilities

• Design and build ELT pipelines for data processing and analysis
• Construct MLOps pipelines for automated retraining and validation of models
• Implement CI/CD pipelines for deploying models and ML services
• Create services for monitoring ML models in production

Preferred Qualifications

• Experience with PyTorch
• Familiarity with Kubernetes
• Knowledge of Dagster
• Experience with Kafka
• Understanding of distributed training systems for ML models

Benefits

• 40 paid days off
• Competitive salary