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 architecture
Cloud 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, Ignite
What 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 levels
- Collaborate 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 space
- Demonstrated ability to identify and design solutions using AI/ML
- Demonstrable 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 development
- Experience with API management platforms & providing / consuming RESTful APIs
- Experience with DevOps, Infrastructure as Code, and infrastructure automation