Role
description:
Full
stack AI Developer will collaborate with stakeholders to scope requirements,
design and architect solutions, and act as the lead for delivery of Cloud
projects leveraging global, regional, and local delivery resources. Acting as
subject matter expert for Azure, you will be the project lead interface and
support digital analytics and AI team in discovering opportunities, gathering
customer requirements, performing Cloud Assessments, architecture, and
designing technical solutions.
Full
stack AI Developer will develop solutions using Cognitive services and cloud components
to translate business problems into cognitive computing technologies to solve
business problems with actionable recommendations.
Key
Responsibilities:
·
Develop
& conceptualize sophisticated cloud solutions that integrate diverse
information assets available to achieve incremental revenue or reduction in the
costs or mitigating the financial risks.
·
Develop
the required specifications, through the delivery of services and technical
components required for its operation with a view of your own development and
its integration with other teams and systems.
·
Lead the
discovery process for the AI & analytics opportunities with the institutional
stakeholders to identify the business
requirements and the expected outcome.
·
Make
strategic recommendations on data collection,
integration and retention requirements
incorporating business requirements and
knowledge of best practices.
·
Define standard
metrics and KPIs for measuring the success of all AI & analytics
engagements undertaken and establish processes to measure them.
·
Design
and develop data model as per specs. Document solutions in the tools: logical
model, data model, workflow diagrams, technical set-up specifications, etc.
·
Certify delivery and its integration with
other components, designing and performing the relevant test to ensure the
quality of your team delivery.
Technical
skill Requirements :
·
5+ years of hands-on experience working
with .NET Core and Azure, including Azure resource.
·
Experience in Azure cloud fundamentals
& cognitive services, Azure DevOps
·
Good to have experience in configuring
Alexa for business and Alexa skill development
·
Experience in Dot Net MVC programming
for web app development.
·
Experience in React Native
(Flutter/ReactJS) programming
·
Experience with developing migration
plans, statement of work or project deliverables
·
Knowledge or experience with multiple
migration and/or assessment tools, as well as end to end delivery of
cloud-based solutions
·
Strong knowledge of Build, deploy, and
operate serverless apps with end-to-end Azure serverless solutions
·
Experience in developing cloud native
applications preferably on Microsoft Azure Cloud, and act as Azure Developer
with knowledge of App Services, Micro services, Containers, Functions. Cloud
Storage (BLOBS, Data Lakes, etc.) and Cloud Databases, Azure Cognitive
Services, Serverless Architecture.
·
Deep knowledge and understanding of
Microsoft Azure PaaS features, as well as Infrastructure as Code
·
Hands on experience on Azure App
Service Model (Web Apps, Mobile Apps, API Apps and Web Jobs)
·
Hands on experience with Azure API
Management Service
·
MCSA or MCSE Certifications
·
At least one Cloud-related
certifications and/or competencies including but not limited to: Implementing
and managing Microsoft Cloud – MCP, MTCS, MCSE, Cloud platform and
productivity, Azure, Windows Server, AD, virtualization, system architecture,
and exchange server excellent communication skills