Job Description :
Ability to create design solution for major parts of the contact center domain''s machine learning problem. Work on hardening ML models developed using Python , Tensor flow by data scientists in production including functional and non-functional aspects including high availability, resiliency and capacity engineering for extreme scale consumption with integration into larger solution areas
Advanced experience with application development on Python, Java, J2E, Spring boot, 12 factor design
Exposure to machine learning projects that have used Python and Tensor Flow. Some data science background
Automation Testing with JUnit Selenium/Cucumber testing
Experience working in an Agile organization and understanding of Agile fundamentals, JIRA with CI/CD
Intermediate/advanced knowledge of cloud deployment (public and private)
Experience with Docker and Kubernetes desirable
Experience with Cloud Foundry, Spring Boot, Kafka and Cassandra or equivalent required
Strong working knowledge of IntelliJ, Eclipse, Maven and Tomcat.
Scale and Resiliency Design experience - SRE, Spring Boot, Microservices - 12 Factor Apps
Confluent Kafka, Cassandra, Git, Maven, Serenity – (Selenium, rest Assured),
Excellent analytical, communication, organizational and problem-solving skills coupled with a strong work ethic
Ability to deliver in a fast-paced global team environment.
Test-infected attitude (strong desire to perform thorough and exhaustive unit, integration and system testing)
             

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