What are the responsibilities and job description for the MLOps Engineer position at VDart, Inc.?
Job Details
Title: MLOps Engineer
Location: Remote
Type: Contract
Job Duties:
- 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.
- Interact at appropriate levels to ensure client satisfaction and project success.
- Communicate complex technical concepts clearly to non-technical audiences.
- Minimum Skills Required: 08 Years experience with:
- MLOps Azure Kubernetes Argo / Bento Azure ML Studio Model Inferencing
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