Location: Remote Work (may need to travel outside USA for workshops)
Duration: 6 Months
10 Years Exp Needed
Description
Experienced data scientist with 5-10 years experience in developing custom Machine Learning and AI model to predict asset failure
Ability to perform as well as direct other data scientists on the team to perform exploratory data analysis, extract features, perform experiments, develop, fine tune, test models
Ability to containerize and deploy models on Kubernetes or Azure ML
Develop automated retraining and redeployment
Development of ML pipelines and API to call models
Understanding of Azure ML, MLFlow or Kubeflow
Experience in the utility industry or energy space preferable
Seniority level
Executive
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Staffing and Recruiting
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