Software Engineer I AI and ML

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights Zinnia simplifies the experience of buying selling and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold team up deliver value and that we do. Zinnia has over $180 billion in assets under administration serves 100 carrier clients 2500 distributors and partners and over 2 million policyholders.

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 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 youre energized by working at the frontier of what AI can do.

WHAT YOULL DO

1. Design develop and deploy machine learning models and Generative AI solutions including classification clustering summarization search & ranking and information extraction.
2. Own end-to-end ML pipelines from data ingestion and preprocessing through model training deployment and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features applying NLP outlier detection and deep learning techniques where applicable.
4. Build robust scalable and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. 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.

WHAT YOULL NEED

Python
Strong hands-on proficiency for building scripting and deploying AI/ML systems.
NumPy Pandas FastAPI Scikit-learn
Machine Learning
Applied expertise across supervised unsupervised and deep learning classification clustering outlier detection.
PyTorch TensorFlow XGBoost DBSCAN

Generative AI (2 yrs)
Hands-on experience building with LLMs prompt engineering RAG pipelines summarization and AI-powered features.
LLMs RAG Prompt Eng. Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines NER embeddings semantic search and ranking models.
spaCy BERT FAISS Elasticsearch

API Development
Designs and ships secure well-documented RESTful APIs exposing ML models as production-ready services.
REST FastAPI OAuth2 Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL MongoDB Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS Azure or GCP.
AWS Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript React

MLOps
Manages the ML lifecycle tracking versioning and pipeline automation.
MLflow Kubeflow CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker Kubernetes