Overview

Zinnia is the leading technology platform for accelerating life and annuities growth.

Responsibilities

• Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
• Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
• Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
• Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
• Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
• Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.
• Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
• Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.

Qualifications

• You are a passionate Python and AI/ML Engineer minimum 5 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have
• experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.