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 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.

Key Responsibilities:

• 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.

Required Skills & Experience:

• 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).

Why Join Us:

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.