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# Machine Learning Engineer

- **Company:** Tiger Analytics
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Continuous Delivery, Continuous Integration, DevOps, JSON, Python (Programming Language), Machine Learning, OpenAI, Software Engineering, Spring Cloud, Large Language Models, AgentCore, Generative AI, Backend, Agentic-AI, Fastapi, Kubernetes, AWS Fargate, Machine Learning Operations, Api Design, Restful APIs, Docker, Microservices
- **Published:** October 21, 2026
- **Apply:** https://www.thejobnetwork.com/job/109b018a-e080-4b6d-b1c8-a68446539373/machine-learning-engineer

## About the Role

We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integration, LLM API development, and AWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications., * 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).

## Description

* 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.