About the job
Tiger Analytics is seeking a highly skilled Machine Learning Engineer with a strong background in Generative AI to become a pivotal part of our rapidly expanding advanced analytics consulting team. Our professionals possess extensive knowledge in Machine Learning, Data Science, and AI, serving as the trusted analytics partner for numerous Fortune 500 companies to unlock business value from data. Our leadership and innovation have been acknowledged by renowned market research firms, including Forrester and Gartner.
Key Responsibilities:
- Design, develop, and enhance high-performance APIs and microservices using Python (FastAPI) deployed on AWS Fargate (ECS).
- Integrate LLM and Generative AI APIs with providers like AWS Bedrock and OpenAI.
- Collaborate with ML and DevOps teams to architect CI/CD and MLOps pipelines within the AWS ecosystem.
- Participate in architectural discussions to ensure scalability, latency management, and backend efficiency for AI-driven systems.
- (Preferred) Utilize knowledge of Bedrock Agent Core services to enhance intelligent agent capabilities.
- Develop and maintain JSON RESTful APIs in accordance with OpenAI API standards and best practices.
