Machine Learning Engineer
Tiger Analytics
- Plano, Texas, United States
- Plano, Texas, United States
Über
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.
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Sprachkenntnisse
- English
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