Eqvilent is hiring a
MLOps Engineer

Summary

The job is for an experienced MLOops Engineer to improve pipelines for machine learning models, process data, test models, and build monitoring systems. The ideal candidate should have strong Python knowledge, proficiency in working with databases, familiarity with Docker, experience with pipeline orchestrators, and a basic understanding of machine learning concepts.

Requirements

• Strong knowledge of Python
• Proficiency in working with databases
• Familiarity with Docker
• Experience with pipeline orchestrators

Responsibilities

• Improve pipelines for training machine learning models
• Process and check data quality
• Test models and ensure their correctness
• Build model monitoring systems
• Design 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

Preferred Qualifications

• Experience with PyTorch
• Familiarity with Kubernetes
• Knowledge of Dagster
• Experience with Kafka

Benefits

• Work in comfortable Dubai and London offices or remotely anywhere in the world
• 40 paid days off
• Competitive salary and performance-based bonuses