Tiger Analytics

Machine Learning Engineer

Tiger Analytics

full-time

Posted on:

Location Type: Hybrid

Location: Plano • Texas • United States

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Tech Stack

AWSCloudDockerMicroservicesPython

About the role

  • Design, build, and optimize high-performance **APIs and microservices** using **Python (Fast API)** 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.
  • (Preferred) Leverage familiarity with **Bedrock Agent Core** services to integrate intelligent agent capabilities.
  • Develop and maintain **JSON RESTful APIs**, adhering to **OpenAI API** conventions and best practices.

Requirements

  • 5+ years of hands-on software development experience with **Python**.
  • Proven expertise in **FastAPI** and **microservice architecture**.
  • Strong understanding of **cloud-native applications**, **container orchestration (ECS, Docker)**, and AWS tools.
  • Proficiency in **LLM API integration** and working with **Generative AI frameworks**.
  • Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
  • Familiarity with **Bedrock AgentCore** or other agentic systems (nice to have).
Benefits
  • Significant career development opportunities exist as the company grows.
  • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonFastAPIAPIsmicroservicesLLM API integrationGenerative AI frameworksCI/CDMLOpscontainer orchestrationcloud-native applications