MLOps Engineer

Job Description

· Exercise expertise in ideating and developing ML applications on prediction, recommendation, text analytics, computer vision, bots, and document intelligence.
· Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. · Employ technical knowledge and hands-on experience with Azure ML Studio and Azure Kubernetes Service.
· Experience in deploying Azure cloud services using Terraform templates with strong knowledge of DevOps principles and automated deployments.
· Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
· Work on model inferencing, validation and deployments to ensure models are deployed with the appropriate levels of validation and quality.
· Create and maintain infrastructure to ingest, normalize, and combine datasets for actionable insights.

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