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Machine Learning Engineer

Tiger Analytics Inc.
CompanyTiger Analytics Inc.
CategoryEngineering
LocationPlano
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted14 Jan 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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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 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.
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Machine Learning Engineer — Tiger Analytics Inc. · Job Opportunities API