DevOps Machine Learning Engineer

3 days ago


Karachi, Sindh, Pakistan Cloudlit Full time

About the Role

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We are seeking an experienced DevOps engineer with a strong background in machine learning to join our team. As a DevOps Machine Learning Engineer, you will play a key role in designing and implementing scalable and reliable machine learning pipelines using industry-leading tools like MLflow, Kubernetes, and Pachyderm.

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Key Responsibilities:

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  • Deployment Management:
  • 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.
  • Training Metrics Management:
  • Capture and store real-time training metrics to optimize model performance and enable dynamic adjustments during training.
  • Use MLflow to log training metrics, facilitating early stopping and performance-based adjustments.
  • Implement version control for datasets used in training to ensure reproducibility and consistency across different runs.
  • Design and implement systems to collect and log the results of inference experiments, including per-data-unit metrics and aggregated performance scores.
  • Use MLflow to store, tag, and retrieve experiment results for further analysis and decision-making.
  • Manage model and dataset versions across experiments using Pachyderm, ensuring consistency and enabling easy backtracking through version histories.
  • Versioning and Integration:
  • Integrate DVC and S3 for model and dataset versioning, ensuring proper tracking and storage of versioned data.
  • Track versions of applications, models, and datasets, ensuring each version is clearly linked and up-to-date.

About Cloudlit

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At Cloudlit, we specialize in cloud-native development and deployment of robust software solutions. Our team of experts helps clients get the most out of their technology investments, embracing innovation and empowering customers to deliver the future.

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Why Join Us?

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As a DevOps Machine Learning Engineer at Cloudlit, you will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and develop your skills in machine learning operations and infrastructure engineering.



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