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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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