Machine Learning Engineer
Tiger Analytics Inc.8 months ago
Plano, TX, USASenior
Responsibilities
- Design, build, and optimize high-performance APIs and microservices using Python and FastAPI on AWS Fargate and ECS.
- Integrate LLM and generative AI APIs using AWS Bedrock, OpenAI, and other providers.
- Collaborate with ML and DevOps teams on CI/CD and MLOps pipelines within AWS.
- Contribute to architecture decisions addressing scalability, latency, and backend efficiency for AI-powered systems.
- Develop and maintain JSON RESTful APIs following OpenAI API conventions and best practices.
- Leverage Bedrock Agent Core services when applicable to integrate intelligent agent capabilities.
Requirements
- At least 5 years of hands-on software development experience with Python.
- Proven expertise with FastAPI and microservice architecture.
- Strong understanding of cloud-native applications, container orchestration, ECS, Docker, and AWS tools.
- Proficiency in LLM API integration and generative AI frameworks.
- Experience implementing CI/CD, infrastructure-as-code, and ML pipelines across AWS environments.
- Familiarity with Bedrock AgentCore or other agentic systems is preferred.
Benefits
- Significant career development opportunities in a small, fast-growing, challenging, and entrepreneurial environment.
- High degree of individual responsibility.
- Hybrid workplace arrangement.
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