ML Operations Engineer Job Vacancy in Uniphore Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : Uniphore
Location : Bengaluru, Karnataka
Position :

Job Description : Uniphore is the global leader in Conversational Automation. Every day, billions of conversations take place across industries — customer service, sales, HR, education and more. Whether they are human to human, human to machine or machine to machine, conversations are at the heart of everything we do, and the new currency of the enterprise.
At Uniphore, we believe companies that best understand and act on those conversations will win. We have built the most comprehensive and powerful conversational automation platform that combines conversational AI, workflow automation, and RPA (Robotic Process Automation) with a business user-friendly-UX (User Experience) in a single integrated platform to transform and democratize customer experiences across industries.
The Data Science Group is seeking a ML Ops Engineer who can build and maintain ML Ops pipelines to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models. Prior experience working on deployment of NLP and ASR models is a huge plus.
Responsibilities:
Design, Develop and maintain the Data science platform and programming framework to enable consistent, reliable and consumable data science services
Test, deploy, maintain and improve ML models/infrastructure and software that uses these models
Collaborate with the data engineers and data scientists on feature development in order to containerize and build out the deployment pipelines for new modules
Identify and evaluate new patterns and technologies to improve the performance, maintainability and elegance of our machine learning systems
Create and work with docker files, images and containers to test and deploys data science
Requirements:
3+ years’ experience working with ML teams to deliver AI models to production
Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano)
Working experience with any of MLOps platforms like KubeFlow/MLFlow/Dataiku/H20/Seldon/SageMaker
Solid experience with python tools for data-science
Ability to develop and implement sample ML/DL algorithms
Experience with container technologies like Kubernetes/Docker/AKS/EKS/OpenShift and ecosystem of cloud native solutions
Prior experience developing features for Data Science validation and testing to track model performance, API response time, and test coverage metrics
Design software architecture and data flow for scalable machine learning development work
Understanding of REST APIs for invoking, integrating, and orchestrating
Excellent oral and written communication skills
Comfortable working with remote teams
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

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