MLOps Engineer

10 Hours ago • All levels

Job Summary

Job Description

As an MLOps Engineer, you will be responsible for improving pipelines for machine learning model training, processing data, checking its quality, testing models, and ensuring correctness, along with building model monitoring systems. This role requires an intelligent and contemplative individual who focuses on details. You will 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.
Must have:
  • Strong knowledge of Python
  • Familiarity with Docker
  • Basic understanding of machine learning concepts and techniques
Good to have:
  • Experience with PyTorch
  • Familiarity with Kubernetes
  • Knowledge of Dagster
  • Experience with Kafka
  • Understanding of distributed training systems for ML models
Perks:
  • Great challenges with many opportunities
  • Welcoming group of highly qualified international professionals
  • Great corporate culture with internal events and supportive environment
  • Cutting-edge hardware and technology
  • Dubai, London, Malta, and Mumbai offices or remote work
  • 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
  • Comfortable Dubai, London, Malta and Mumbai offices or remotely anywhere in the world
  • 40 paid days off
  • Competitive salary

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