Description : About the job :
Scope :
Work closely with a team of data scientists and collaborate with stakeholders from application teams to research solutions, identify go-forward approaches, develop POCs and determine final solutions
Our Current Technical Environment :
Software :
- Java, Python, Jupiter notebook, GIT
 
Application Architecture :
Scalable, Resilient, event-driven, secure multi-tenant Microservices architectureCloud Architecture :
MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)Frameworks / Others :
Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle GIT, IgniteWhat Youll Do :
Work closely with the application teams to understand the problem they are looking to solve.Identify innovative approaches and options and develop POCs to validate the solution quality and feasibility.Working with the application teams, finalizing the solution design, and helping develop and ensure the solution quality, as well as performance and scalability, is of the desired levelsCollaborate with team members and contribute to identifying the solutions and ensuring quality.What We Are Looking For :
Bachelors degree (STEM preferred) and minimum 3+ years of experience in Software development; ideally a candidate that has started as a Software Engineer and been working the data science, AI / ML spaceDemonstrated ability to identify and design solutions using AI / MLDemonstrable experience with microservices-based architecture on Cloud at scale.Hands-on development skills along with architecture / design experience; should not have moved away from software developmentExperience with API management platforms & providing / consuming RESTful APIsExperience with DevOps, Infrastructure as Code, and infrastructure automation(ref : hirist.tech)