Jubil ID: 232

Company: Amazon Web Services

Location: New York, NY

Description:
KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand
and looking forward we do not anticipate that slowing down. In this ever-changing market environment
our professionals must be adaptable and thrive in a collaborative
team-driven culture. At KPMG
our people are our number one priority. With a wealth of learning and career development opport

Qualifications:
A minimum of five years of proven experience as an AWS Architect with a strong focus on AI/ML solutions Bachelor's or master's degree in computer science
Engineering
or a related field Strong understanding of AWS services and best practices for cloud-based AI solutions Proficient in programming languages such as Python
Java
or similar Experience with AI/ML frameworks and libraries and a familiarity with containerization and orchestration tools

Benefits:
KPMG complies with all local/state regulations regarding displaying salary ranges Any offered salary is determined based on relevant factors such as applicant's skills
job responsibilities
prior relevant experience
certain degrees and certifications and market considerations In addition
the firm is proud to offer a comprehensive
competitive benefits package
with options designed to help you make the best decisions for yourself
your family
and your lifestyle Available benefits are based on eligibility Our Total Rewards package includes a variety of medical and dental plans
vision coverage
disability and life insurance
401(k) plans
and a robust suite of personal well-being benefits to support your mental health Depending on job classification
standard work hours
and years of service
KPMG provides Personal Time Off per fiscal year California Salary Range: $133400 - $249200 KPMG LLP

Responsibilities:
Design and develop scalable
secure
and robust AI solutions on AWS Utilize AWS services such as SageMaker
Lambda
ECS
RDS
and others to build and deploy AI models and applications while optimizing for performance
scalability
and security Work closely with data scientists and AI/ML engineers to understand requirements and translate them into effective architectural solutions Provide technical leadership and guidance to development teams
ensuring best practices in AI and cloud architecture Optimize AI and machine learning models for performance and cost-efficiency Ensure high availability
fault tolerance
and disaster recovery for AI solutions In some circumstances
clients also may require proof of vaccination or testing