MLOPS ENGINEER

5 Months ago • All levels • Artificial Intelligence • DevOps

Job Summary

Job Description

We are seeking an experienced MLOps Engineer to enhance our machine learning model pipelines. Responsibilities include designing and building ELT pipelines for data processing and analysis, constructing MLOps pipelines for automated model retraining and validation, implementing CI/CD pipelines for model and service deployment, and creating model monitoring services. The ideal candidate possesses strong Python skills, Docker familiarity, and a basic understanding of machine learning concepts. Attention to detail and a methodical approach are essential.
Must have:
  • Strong Python knowledge
  • Docker familiarity
  • Basic ML understanding
  • Design & build ELT pipelines
  • Construct MLOps pipelines
  • Implement CI/CD pipelines
  • Create model monitoring services
Good to have:
  • PyTorch experience
  • Kubernetes familiarity
  • Dagster knowledge
  • Kafka experience
  • Understanding of distributed training systems
Perks:
  • Great challenges and opportunities
  • Welcoming international team
  • Supportive corporate culture
  • Cutting-edge technology
  • Remote work options
  • 40 paid days off
  • Competitive salary

Job Details

 

We are looking for an experienced MLOps Engineer to join our team. In this role, you will be responsible for improving pipelines for training machine learning models, processing and checking data quality, testing models and ensuring their correctness, and building model monitoring systems. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details.

WHAT YOU’LL BE DOING:

  • 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.

WHAT WE LOOK FOR IN YOU:

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

WHAT WILL BE A PLUS:

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

WHY SHOULD YOU JOIN OUR TEAM?

  • Great challenges with many opportunities to prove yourself 
  • A welcoming group of highly qualified international professionals
  • Great corporate culture with internal events and surprising commitment to fostering a supportive and empowering environment
  • Cutting-edge hardware and technology
  • You can work in comfortable Dubai, London, Maltese offices or remotely anywhere in the world
  • 40 paid days off
  • Competitive salary

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