Machine Learning

Bangalore

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Uniphore
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Posted 1 week ago

ResponsibilitiesAutomate machine learning model deployments in an AWS-based model-as-a-service architecture.Set-up model management processes (both model artifacts, train/test data, and metrics).Enable model monitoring, retraining and redeployment.Be the bridge between Data Science and Engineering teams, facilitating the productization of machine learning models.Ensure model performance at scale.Manage data stores for large datasets, including audio and annotation data. Qualification3+ years of industry experienceHands-on experience with ML model deployment.Hands-on experience building or managing AWS based microservice architecture.Ability to build CI/CD pipelines ground up.In depth understanding of Service-Oriented Architecture, principles is a plus.Experience with deep learning frameworks like PyTorch, TensorFlow is a great plus.Experience with building/maintaining data lakes is a great plus.Experience with GitLab is a plus.Uniphore is a global Conversational AI technology company with offices in the U.S., India and Singapore. Uniphore believes the future of customer service is every voice being truly heard. The Company’s vision is to bridge the gap between people and machines through voice. Uniphore enables businesses globally to deliver transformational customer service by providing a platform of Conversational Analytics, Conversational Assistant and Conversational Security that changes the way enterprises engage their consumers, build loyalty and realize efficiencies.
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. For more information on how Uniphore delivers business value using Conversational Service Automation, please visit www.uniphore.com
Job tags: AI AWS Conversational AI Deep Learning Engineering Machine Learning ML PyTorch Security TensorFlow
Job region(s): Asia/Pacific
Job stats:  21  5  0
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