Job Description
Job Description
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.
Skills/ Experience
Strong programming skills in Python and familiarity with ML frameworks (lightBoost, sklearn).
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.
Solid understanding of model evaluation, drift detection, and monitoring techniques.
Experience in building and maintaining CI/CD pipelines for ML (e.g., MLfl...
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.
Skills/ Experience
Strong programming skills in Python and familiarity with ML frameworks (lightBoost, sklearn).
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.
Solid understanding of model evaluation, drift detection, and monitoring techniques.
Experience in building and maintaining CI/CD pipelines for ML (e.g., MLfl...
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