TalentAQ

TalentAQ

AI Engineer

EngineeringFull Time6+ yearsRemote

Required Skills
14 skills

Python
API Development
FastAPI
Flask
PostgreSQL
DynamoDB
AWS
Kubernetes
KServe
Kubeflow Pipelines
Terraform
AWS CDK
MLflow
SageMaker Model Registry

Job Description

<p>We are seeking a skilled AI Engineer to join our team and focus on Model Context Protocol (MCP). In this role, you will be responsible for designing, developing, and deploying AI/ML models and services in a fintech/insurance environment. Your expertise will be crucial in ensuring the performance, security, and scalability of our AI infrastructure.</p><h3>Key Responsibilities:</h3><ul><li>Develop scalable APIs using Python frameworks like FastAPI or Flask.</li><li>Design and maintain model context registries using PostgreSQL or DynamoDB.</li><li>Deploy and orchestrate models using Kubernetes and KServe.</li><li>Optimize model serving for low latency and resource efficiency.</li><li>Manage Kubernetes infrastructure on EKS, including monitoring and scaling.</li></ul><h3>Required Skills:</h3><ul><li>Python API Development</li><li>Model Context Registry Design</li><li>Cloud & DevOps Proficiency</li></ul>

We are seeking a skilled AI Engineer to join our team and focus on Model Context Protocol (MCP). In this role, you will be responsible for designing, developing, and deploying AI/ML models and services in a fintech/insurance environment. Your expertise will be crucial in ensuring the performance, security, and scalability of our AI infrastructure.

Key Responsibilities:

  • Develop scalable APIs using Python frameworks like FastAPI or Flask.
  • Design and maintain model context registries using PostgreSQL or DynamoDB.
  • Deploy and orchestrate models using Kubernetes and KServe.
  • Optimize model serving for low latency and resource efficiency.
  • Manage Kubernetes infrastructure on EKS, including monitoring and scaling.

Required Skills:

  • Python API Development
  • Model Context Registry Design
  • Cloud & DevOps Proficiency

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