AI/ML Cloud Architect/ Engineer - (W2)

Hybrid in Bloomfield, CT, US • Posted 21 hours ago • Updated 21 hours ago
Contract Independent
Contract W2
No Travel Required
Hybrid
$65 - $70/hr
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon SageMaker
  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Architecture
  • Cloud Computing
  • Collaboration
  • Docker
  • GPU
  • IaaS
  • Kubernetes
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Management
  • Microsoft Azure
  • Onboarding
  • Orchestration
  • Organizational Architecture
  • Performance Tuning
  • ProVision
  • Python
  • Terraform
  • Training
  • Use Cases

Summary

AI/ML Cloud Architect/ Engineer
Location: Bloomfield, CT (Hybrid)
Candidates with 12-month validity

Must have: AI/ML, Amazon SageMaker, Cloud

 
Work closely with engineering teams to support AI/ML infrastructure, deployments, and cloud-based initiatives.


Day to Day Responsibilities

•  Work on enterprise AI/ML initiatives focused on deploying AI/ML models and tracking model usage across the organization.
   
•  Design Cloud Architecture for various use cases.
   
•  Support implementation and management of MLOps processes for model deployment, monitoring, and operationalization
   
•  Collaborate with the Client’s AI/ML Center of Excellence (COE) team to align cloud infrastructure and AI platforms with enterprise standards and approved tools
   
•  Assist internal teams and business units with onboarding AI/ML workloads into approved cloud environments.
   
•  Strong experience in Securing the Client Data.
   
•  Design, deploy, and manage scalable cloud infrastructure supporting AI/ML workloads on AWS and Azure
   
•  Support model training and inference environments for data scientists and ML engineers
   
•  Provision GPU-enabled infrastructure and optimize environments for AI/ML workloads and large-scale model deployments


The ideal candidate will have

•  Experience as an AI-ML Infrastructure Architect/ Engineer
   
•  Strong hands-on experience with AWS and Microsoft Azure.
   
•  Strong experience with AI Gateways.
   
•  Hands-on experience with Docker, Kubernetes, and container orchestration.
   
•  Must have strong experience with Python
   
•  Experience with Infrastructure as Code tools like Terraform or CloudFormation
   
•  Experience with monitoring and performance optimization tools


Preferred Skills & Qualifications

•  Cloud certifications such as AWS Certified Solutions Architect or Azure AI Engineer

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91165402
  • Position Id: 8965739
  • Posted 21 hours ago

Company Info

About Bridge Flair LLC

Delivering Value and Innovation

Bridge flair is a world class technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We use our unique deployment model to build qualified, industry specialized fit-for-purpose teams combined with proven solutions and service models to achieve results. Our agility and obsession with providing value enables us to support an ever evolving digital world.

Diversity, Equity, and Inclusion


Our emergent Diversity, Equity, and Inclusion (DEI) goals are established for progression and empower the Values we bring as a world-class technology services firm.

Corporate Social Responsibility


We are invested in creating long-term partnerships that strengthen communities, help tackle social challenges, and solve complex problems. We encourage employees to explore their passions, business skills, and expertise to make meaningful contributions to the world around them. Click here to learn more about our corporate social responsibility.

Local Service


Our unique delivery model includes local quality engagement with over 70 offices and client delivery centers (CDC) across the United States and Canada, including a CDC in Mexico.

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