Machine Learning Engineer

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 looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for an experiencedAI/ML Leadwith 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, andAWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications.

Key Responsibilities:

• Design, build, and optimize high-performanceAPIs and microservicesusingPython (Fast API)deployed onAWS Fargate (ECS).
• IntegrateLLM and Generative AI APIsusing providers such asAWS Bedrock,OpenAI, and others.
• Collaborate with ML and DevOps teams to designCI/CD and MLOps pipelineswithin theAWS ecosystem.
• Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.
• (Preferred) Leverage familiarity withBedrock Agent Coreservices to integrate intelligent agent capabilities.
• Develop and maintainJSON RESTful APIs, adhering toOpenAI APIconventions and best practices.

Required Skills & Experience:

• 5+ years of hands-on software development experience withPython.
• Proven expertise inFastAPIandmicroservice architecture.
• Strong understanding ofcloud-native applications,container orchestration (ECS, Docker), and AWS tools.
• Proficiency inLLM API integrationand working withGenerative AI frameworks.
• Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
• Familiarity withBedrock AgentCoreor other agentic systems (nice to have).

Why Join Us:

You’ll be part of an innovative team building the next generation ofAI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries inAgentic AIinfrastructure development in a supportive, fast-moving environment.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.