Associate Machine Learning Ops Engineer
2 weeks ago
Responsibilities:
- Develop and deploy end to end pipelines for developed models
- Ensure that deployed machine learning models are functional in production
- Work on optimisation so that the model can handle large amounts of data in a production environment
Requirements:
- Ability to do development using Python
- Ability to build MLOps pipelines using CI/CD tools such as Gitlab, AWS Code Pipeline, etc
- Good understanding of Linux and machine learning workflow
- Ability to understand tools and frameworks such as Keras, PyTorch, Tensorflow used by data scientists
- Experience in using popular MLOps frameworks like MLFlow or Kubeflow
- Experience working with streaming data is a plus
- Strong communication skills
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