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MLOps Engineer

1 month, 1 week ago
Anywhere
Full-time
Mid Level
Machine Learning Engineer
Software Development
CI/CD Dagster Docker Grafana Machine Learning MLOps Prometheus Python PyTorch
Apply Now
Eqvilent

Eqvilent

Eqvilent specializes in quantitative trading, utilizing advanced technologies to provide liquidity in financial markets.

Capital Markets
11-50
Founded 2020
View All Jobs 22

Description

  • 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.
  • Process and check data quality for machine learning workflows.
  • Test models and ensure their correctness.

Requirements

  • Strong knowledge of Python.
  • Familiarity with Docker.
  • Basic understanding of machine learning concepts and techniques.
  • Experience with PyTorch (a plus).
  • Knowledge of Dagster (a plus).
  • Experience automating ML pipelines from data ingestion to deployment with monitoring and observability (a plus).
  • Experience with monitoring frameworks such as Grafana or Prometheus (a plus).
  • Understanding of distributed training systems for ML models (a plus).
  • Ability to work carefully and dive deeply into code with strong attention to detail.

Benefits

  • Competitive salary.
  • 40 paid days off.
  • Work remotely from anywhere in the world.
  • Access to global offices anytime.
  • Cutting-edge hardware and technology.
  • Supportive international team environment with internal events.

Interested in this position?

Apply directly on the company website

Apply Now

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