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
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 S...
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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