Machine Learning Engineer
Tiger Analytics Inc.9 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.
Categories
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.