Machine Learning Engineer

Aimlroles; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Tiger Analytics is seeking an experienced Machine Learning Engineer with Gen AI experience to design and deploy scalable AI-powered systems. You will build high-performance APIs and microservices on AWS Fargate, integrating LLMs with providers like OpenAI and AWS Bedrock.

The role emphasizes CI/CD, MLOps, and collaboration with ML and DevOps teams to improve latency, throughput, and backend efficiency in production environments.

Qualifications

• 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.

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.
• (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.

Skills

Python

FastAPI

Microservices

AWS

LLM API integration

GenAI

Docker

Tools

AWS Fargate (ECS)

Bedrock

OpenAI

CI/CD

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.

Requirements

We are looking for an experiencedAI/ML Leadwith deep expertise in designing and deploying high-performance APIs and microservices onAWS Fargate (ECS). The ideal candidate will have hands-on experience ingenerative 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.

Benefits

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.