Job Description

Job type: 6 months contract | potentially renewable up to 5 years

Summary:

Model maintenance, automation of ML training pipelines, and end-to-end model lifecycle management

Responsibilities:


• Design, build, and maintain robust machine learning models into AzureML.


• Develop reusable components for model training, evaluation, and deployment.


• Monitor model performance in production and implement automated retraining workflows.


• Optimize models for accuracy, latency, scalability, and cost efficiency.


• Collaborate with data scientists to productionize experimental models using best engineering practices.


• Hands-on experience on end-to-end model deployment on Azure is critical — we strongly prefer candidates with hands-on model development and maintenance experience, ideally with AzureML


• Preference for candidates have experience of develop and deploy propensity models.

Skills/...

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