Machine Learning Engineer

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
, and
AWS Bedrock services
, contributing to building scalable GenAI and Agentic AI applications.

• 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 Dev Ops 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.

• 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 Agent Core
  or other agentic systems (nice to have).

You’ll be part of an innovative team building the next generation of
AI-driven applications
, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in
Agentic AI
infrastructure 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.