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Sr Engr Cslt-AI ML Engineering

3.00 to 5.00 Years   Bangalore   15 Feb, 2022
Verizon Data Services India PvtLtd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    When you join VerizonVerizon is one of the world s leading providers of technology and communications services, transforming the way we connect across the globe. We re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward and you can too. Dream it. Build it. Do it here.What you ll be doing.The work youll be doing is on ML Engineering - mainly the Model Inferencing layer at enterprise level, which is going to enhance the experience for Data scientist and ML engineers to build world class Solution at scale.
    • Working with stakeholders to understand requirements and effectively prioritizing for implementation.
    • Building secure, scalable, and stable Model Inferencing solution using K8S, APIGEE, Java .
    • Driving the technical design and implementation of large scale data platforms, reusable data products and business ready data by utilizing modern and open source technologies, in a hybrid cloud environment.
    What we re looking for.You will be Responsible for implementation and performance tuning of Model Inferencing layer. You are a good team player and having go-getter kind of attitude with good inter-personal skills. You will Lead and provide guidance to team with regards to Plan, Configure, Deploy and Operate in cloud solutions.Youll need to have:
    • Bachelors degree or four or more years of work experience.
    • Four or more years of relevant work experience.
    • Three or more years of experience in Java Spring boot and API Integration Development technology and Implementation.
    • Three or more years of experience in developing micro services in Java using Spring Boot Skilled in Spring Framework such as Spring MVC IOC AOP and Spring JDBC 4.
    • Three or more years of experience with build and deployment tools such as Ant or Maven or Gradle. (Decompose, Strangler, Saga, Event sourcing, CQRS, Tx Messaging).
    • Experience with Core Java, Spring, Microservices, Mulesoft, Apigee.
    Even better if you have one or more of the following:
    • Experience working on any model inferencing layer.
    • Ability to deploy builds using CI CD pipelines with Jenkins Strong experience in Micro services
    • Knowledge on PCF/Docker/Kubernete.
    • Experience of working in agile environment and good understanding of Agile processes.
    • Experience working in Cloud environment, mainly GCP.
    • Secondary Skills Docker Kubernetes.
    ,

Keyskills :
core javaspring mvcspring bootopen sourcehybrid cloudspring frameworktechnical designagile environmentperformance tuningintegration developmentapiantaopiocjava

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