Cloud Native ML Engineer

3 days ago


Karachi, Sindh, Pakistan Cloudlit Full time

We are looking for a highly skilled MLOps engineer to join our team and contribute to the development of our cloud-native machine learning platform.

About the Position

The ideal candidate will have a strong background in MLOps, machine learning pipelines, and model deployment, as well as hands-on experience with Kubernetes, MLflow, Pachyderm, and DVC.

This role will involve working closely with cross-functional teams to ensure seamless integration of machine learning models into our cloud-native platform.

Duties:
  • Design and implement a robust and scalable system for managing model deployments, training, and experiments.
  • Develop and maintain a solution to track and manage live applications, including version control for models and datasets in production.
  • Integrate Pachyderm to organize and track versioned layers (Application - Model - Data) for a unified view of deployment components.
  • Implement version lineage tracking from application code through models and datasets to improve troubleshooting and facilitate system enhancements.

Skills Required

  • Proven experience in MLOps, machine learning pipelines, and model deployment.
  • Strong knowledge of MLflow and Pachyderm for model and dataset version control.
  • Hands-on experience with Kubernetes for deployment management and scaling machine learning models.
  • Familiarity with DVC (Data Version Control) and cloud storage solutions like AWS S3.
  • Proficiency in version control practices for machine learning applications, models, and datasets.


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