
1001 - 5000 employees
Founded 2011
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
🕒 July 24
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1001 - 5000 employees
Founded 2011
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
• Building high-performance API services and implementing complex RAG and Agentic AI architectures. • Designing and implementing end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators. • Managing orchestration, tool integration, and robust error handling for non-deterministic AI outputs. • Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection. • Iterating systems based on performance metrics and continuous improvement practices.
• Minimum of 7+ years of professional experience in software development and AI engineering. • Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers. • Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem. • Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure. • Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration. • Experience working with Bedrock Agent/Core services is a significant plus.
• Significant career development opportunities exist as the company grows. • 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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