AI/ML Cloud Engineer/ MLOps Azure :: Bloomfield , CT - Local- 13+ Experience

[Sandy Mishra]

AI/ML Cloud Engineer/ MLOps  :: Bloomfield , CT

Visa :USC/GC/GC-EAD/H4EAD/ L2 EAD/TN

Reallocation : OK

Must have:  This project mainly focuses on deploying AI/ML models and tracking their usage. The team is using a tool called LiteLLM to measure how the models are being used.


Key Skills Required:

• Strong experience in MLOps (especially for model deployment)
• Experience with LLM Gateways (this is a plus, as they are starting to use it)
  
  What You Will Do:
  Design, deploy, and manage cloud infrastructure for AI/ML workloads on AWS and Azure
  Work on AI platforms like:
  Amazon SageMaker
  Azure Machine Learning
  Support model training and deployment environments
  Help data scientists and ML engineers by setting up and optimizing infrastructure for:
  Model training
  Model deployment (inference)

 

Key Responsibilities
Cloud Infrastructure Management

• Design, deploy, and manage cloud infrastructure supporting AI/ML workloads on AWS and Azure.
• Manage compute resources such as EC2, Azure Virtual Machines, GPU instances, and Kubernetes clusters.
• Provision and configure storage, networking, and security services for AI platforms.
• Ensure high availability, scalability, and reliability of AI environments.
• AI Platform Support
• Deploy and maintain AI/ML services such as:
• Amazon SageMaker
• Azure Machine Learning
• AI model training and inference environments
• Support data scientists and ML engineers by providing optimized infrastructure for model training and deployment.
• Automation & Infrastructure as Code
• Implement Infrastructure as Code (IaC) using tools such as:
• Terraform
• CloudFormation
• ARM templates / Bicep
• Automate environment provisioning, patching, and scaling.
• Containerization & Orchestration
• Deploy and manage containerized AI workloads using:
• Docker
• Kubernetes
• Amazon EKS
• Azure Kubernetes Service (AKS)
• Monitoring & Performance Optimization
• Monitor system health, performance, and resource utilization using tools like:
• CloudWatch
• Azure Monitor
• Datadog / Prometheus
• Optimize infrastructure for cost, performance, and GPU utilization.
• Security & Compliance
• Implement cloud security best practices including:
• IAM / RBAC management
• Network security groups
• Encryption and secrets management
• Ensure compliance with organizational and regulatory standards.
• CI/CD & DevOps Integration
• Integrate AI infrastructure with CI/CD pipelines.
• Support automated deployment of models and AI services.

 

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 5+ years experience in infrastructure administration or cloud engineering.
• Strong hands-on experience with:
• AWS cloud services
• Microsoft Azure cloud services
• Experience supporting AI/ML infrastructure or data platforms.
• Proficiency with Linux administration and scripting (Python, Bash, PowerShell).
• Experience with Docker and Kubernetes.

 

Preferred Qualifications

• Experience with GPU infrastructure for AI workloads.
• Knowledge of ML pipelines and MLOps practices.
• Experience with data platforms (Snowflake, Databricks, or Spark).
• Familiarity with AI frameworks such as TensorFlow or PyTorch.
• Cloud certifications such as:
• AWS Certified Solutions Architect
• Azure Administrator or Azure AI Engineer

 

Key Skills

• Cloud Infrastructure (AWS, Azure)
• AI/ML Platform Support
• Kubernetes / Containers
• Infrastructure Automation
• Monitoring & Performance Tuning
• Security & Compliance
• DevOps & CI/CD

 

 

 

Regards,

Sandy M | 1Point System LLC

Business Development Manager
Direct: (803)-805-3884• Email: sa...@1pointsys.com 

• Fax: 803)-828-2974 • www.1pointsys.com
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

LinkedIn : https://www.linkedin.com/in/sandy-m-74b06b212/

 

         An E-Verified company | An Equal Opportunity Employer