Mlops Engineer

Eqvilentjobs

Remote
Remote
Python
Docker
Machine learning concepts
Eqvilentjobs is seeking an experienced MLOps Engineer to enhance machine learning model pipelines, ensuring data quality and model monitoring. The ideal candidate will possess strong Python skills and familiarity with Docker while being detail-oriented and contemplative in their work

Job Summary

  • Improve pipelines for training machine learning models, processing and checking data quality, testing models and ensuring their correctness, and building model monitoring systems.
  • Design and build ELT pipelines for data processing and analysis, construct MLOps pipelines for automated retraining and validation of models, and implement CI/CD pipelines for deploying models and ML services.
  • Work remotely from anywhere in the world with 40 paid days off and access to global offices.

Matching Summary

Match Score: 85

Eqvilentjobs is seeking an experienced MLOps Engineer to enhance machine learning model pipelines, ensuring data quality and model monitoring. The ideal candidate will possess strong Python skills and familiarity with Docker while being detail-oriented and contemplative in their work.

Skills & Requirements

Must-have

  • Python
  • Docker
  • machine learning concepts

Nice-to-have

  • PyTorch
  • Dagster
  • monitoring frameworks
  • distributed training systems

Key Requirements

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

Work Rights

Not specified

Tailored Resume

Cover Letter