About
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 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. 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.
Languages
- English
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