MLOps Engineer

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