|
The Role:
Synechron
is seeking an AWS AI Engineer to join our team in New York, NY
(Need Onsite day 1, Hybrid 3 days from
office, No Remote).
JR ID: JR1019621
VISA-USC/GC/GC-EAD/H4-EAD/L2S/TN
VISA
Description:
This resource will be joining Windows
team, collaborating with various sectors within infrastructure like Security
and Networking to create, launch, and support AI based cloud and hybrid
applications. Given the collaborative requirements of this position, it is
essential that the candidate possesses advanced Gen AI/AWS/technical skills
alongside strong interpersonal abilities. The candidate should demonstrate a
strong blend of technical skill and industry knowledge and exhibit excellent
communication, teamwork, customer service, and leadership qualities to
effectively engage with cloud engineering, Power Platform engineering team,
information security, and line of business teams.
Responsibilities:
-
Translate
the business requirements for AI applications into viable AI solutions
within AWS
-
Select
appropriate AWS technologies, considering deployment models and their
seamless integration with existing tools
-
Partner
with Enterprise Architecture, Application Development, and Business
teams to design pilot projects and develop production-ready solutions
-
Gather
feedback from diverse stakeholders to ensure that the technical
implementation aligns with both current and future AI requirements
-
Work
closely with security and risk leaders to foresee and mitigate risks,
ensuring ethical AI usage and compliance
-
Gain
an understanding of and contribute to LLM operations, focusing on the
infrastructure and operational capabilities required to deploy AWS AI
solutions
-
Develop
tools and capabilities that support data ingestion, feature engineering,
data management, and organization
-
Integrate
security best practices into solutions to facilitate streamlined CI/CD
pipelines for deployment and secure software delivery
-
Establish
the AWS OpenAI service in Microsoft AWS with an architecture tailored to
support business teams
Requirements:
· At least
5 years of experience in implementing cloud-based AI workloads on AWS,
delivering production grade solutions
· Bachelor's
Degree in any of Computer Science, Statistics, Data Science or a related
field
· At least
1 year of experience in implementing AWS OpenAI solutions
· Generative
AI, Deep Learning, Machine learning, LLMOps
· LLM
Experience in prompting & finetuning in GPT3.5/Turbo, GPT-4/4o is a must.
Experience in other LLMs would be a plus.
· Certifications
in AI/ML technologies and Cloud platforms, such as AWS AI Engineer Associate
(AZ-102)
· Certification
in AWS Solutions Architect Expert and other cloud platforms e.g. AWS, Google
would be a plus.
· Programing
experience in one of the languages - Python, R, Java, C#
· Cloud Services
Expertise: AWS OpenAI, Document Intelligence, AI Search, Cosmos DB, App
service, Managed Identities, Customer Managed Keys, AWS IaaS and PaaS
solutions, Copilot Studio
· Experience
in CI/CD Tools Bitbucket, Terraform is a must.
· Experience
gathering non-functional requirements, performing designed and validated
application architecture frameworks, and executing functional, stress and
performance testing
· Strong
knowledge of business analysis, requirement gathering, and gap analysis
· Strong
communication, presentation, and interpersonal skills
· Fast
learner, individual as well as a team player and can work under pressure
· Power
Automate development experience would be a plus
|