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/Experience:
• Strong programming skills in Python and familiarity with ...
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/Experience:
• Strong programming skills in Python and familiarity with ...
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