Posted:11 hours ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

  • Design and evolve the teams MLOps platforms and processes.
  • Experienced with different aspects of ML Lifecycle Activities:
  • Data collection and preparation
  • Feature engineering
  • Model development , evaluation and deployment
  • Model monitoring and maintenance
  • Experienced with popular Tools for Model Monitoring, Deployment, Governance, Retraining, and Experimentation:
  • Model monitoring: Prometheus, Grafana, Datadog, New Relic
  • Model deployment: TensorFlow Serving, TorchServe, Amazon SageMaker, Google Cloud AI Platform
  • Model governance: ModelDB, MLflow, Neptune.ai
  • Model retraining: MLflow, AWS SageMaker, Google Cloud AI Platform
  • Model experimentation: Jupyter Notebook, Google Colab, Kaggle

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