Job Description

Designation

LEAD SPECIALIST

No. of Positions

1

Experience

4.5-8 Years

Skill (Primary)

CFS-Platform Engineering-Cloud Services

Qualification

B Tech

(Posting).

For data industrialization: Partners with stakeholders and provides solutions in Data Ingestion Framework, Data Validation, Data Enablement, Real time Data Streaming Framework, Data Observability, Data DevOps.
For AI industrialization: identifies and helps teams help in arriving at how they will be able to arrive at a common platform across Business and AID for sharing insights. Identifying what platform we would go into presently on AWS and migration path is for GCP in the area of Enterprise Feature Factory, Model Development, Experimentation, Model Delivery, Real Time ML/Edge AI ,NLP, Computer Vision ML Pipeline.

Large data and external system handing
Good familiarities on in-built ML solutions like Azure ML,
Knowledge of DL/ML Concepts
Good Knowledge on Model development
Good Exposure on Cloud Platform including Azure
GCP Knowledge on GCP Components
Good SQL Knowledge
Knowledge in Networking
Good in Project management

(1.) To provide support for on call escalations and doing root cause analysis of given issue (2.) To independently resolve tickets within agreed SLA of ticket volume and time (3.) To adhere to quality standards, regulatory requirements and company policies (4.) Work on value adding activities such Knowledge base update and management, Training freshers, coaching analysts (5.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions or Reopen Cases