Gen AI ML Engineer — Cloud APIs & Microservices

Tiger Analytics, LLC; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Tiger Analytics is seeking an experienced Machine Learning Engineer with Gen AI experience to join our fast-growing analytics consulting team. You will design and deploy high-performance APIs and microservices on AWS Fargate (ECS), integrating LLM APIs and GenAI capabilities to build scalable AI-powered applications.

Candidates should have 5+ years of Python development, strong FastAPI skills, and experience with CI/CD and MLOps on AWS.

Qualifications

• 5+ years of hands-on Software Development with Python.
• Strong experience with FastAPI and microservice architecture.
• Cloud-native applications, container orchestration (ECS, Docker), and AWS tools.

Responsibilities

• Design, build, and optimize high-performance APIs and microservices using Python (FastAPI) deployed on AWS Fargate (ECS).
• Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others.
• Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem.
• Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.

Skills

Python

FastAPI

Microservice architecture

AWS Fargate (ECS)

LLM API integration

Generative AI frameworks

Bedrock AgentCore

Tools

Docker

Terraform

Job description

Tiger Analytics is seeking an experienced Machine Learning Engineer with Gen AI experience to join our fast-growing analytics consulting team. You will design and deploy high-performance APIs and microservices on AWS Fargate (ECS), integrating LLM APIs and GenAI capabilities to build scalable AI-powered applications.

Candidates should have 5+ years of Python development, strong FastAPI skills, and experience with CI/CD and MLOps on AWS.