DevOps-MLOps Engineer

Palo Alto

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Uniphore
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Posted 1 month ago

Key Responsibilities Part of a team that is building a modern, state-of the-art MLOps pipeline Collaborate closely with Data Science and Engineering teams Containerize ML models Automate ML model deployments Setup and manage ML model performance 

Qualifications

  • Strong programming skills in one of the popular programming skills 
  • 5+ years of industry experience 
  • Experience building CI/CD pipelines ground up 
  • Hands-on experience with Docker and Kubernetes 
  • Experience with Python is preferred  
  • Experience with a cloud infrastructure platform AWS or GCP 
  • Experience with deep learning frameworks like PyTorch, TensorFlow is a great plus 
  • Experience building auto-scaling ML systems is desirable 
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: AWS CD CI Docker GCP Kubernetes Python