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, empowering individuals to protect their financial futures. Our success is driven by three core values: Be Bold, Team Up, and Deliver Value — and we live by these values every day. Zinnia manages over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and more than 2 million policyholders.

Who You Are:

You are a passionate and skilled Python Developer with experience in AI/ML, bringing 3-5 years of hands-on expertise to the table. You thrive in fast-paced environments and are excited by solving complex problems through the application of machine learning and AI technologies. With a strong foundation in building scalable, intelligent solutions, you are ready to help deliver real business value through cutting-edge projects involving Generative AI and Machine Learning.

What You'll Do:

Design, Develop, and Deploy AI/ML Models:
You will be responsible for developing machine learning models, including Generative AI solutions, and deploying them to production.
End-to-End ML Pipeline Management:
Lead the entire process, from data ingestion and preprocessing to model deployment and monitoring, ensuring that systems are scalable and maintainable.
Collaborate Across Teams:
Work closely with cross-functional teams to gather requirements and deliver AI-driven features that align with business needs.
API Development:
Build robust, scalable, and well-documented Python-based APIs to integrate machine learning models into production services.
Optimize Data Handling:
Ensure efficient data storage and retrieval for AI applications, optimizing interactions with both SQL and NoSQL databases.
Stay Up to Date:
Keep up with the latest trends in AI/ML and continuously integrate innovative techniques into projects to maintain a cutting-edge technology stack.

What You'll Need:

Python:
Strong hands-on experience with Python and its data science libraries (e.g., NumPy, pandas, scikit-learn).
Machine Learning:
Practical knowledge of supervised, unsupervised, and deep learning techniques.
Generative AI:
Experience working with large language models (LLMs) or similar Generative AI technologies.
API Development:
Experience with building RESTful APIs and integrating machine learning models into production services.
Databases:
Familiarity with SQL (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB) for data storage and retrieval.

Good to Have:

Cloud Platforms:
Familiarity with AWS, Azure, or Google Cloud Platform (GCP).
TypeScript/JavaScript:
Exposure to frontend or full-stack development for creating ML product interfaces.
MLOps Tools:
Experience with MLflow, Kubeflow, or other MLOps practices and tools.
Containerization & Orchestration:
Exposure to Docker and Kubernetes for containerization and orchestration of machine learning applications.

What's in it for You:

At Zinnia, you will collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services that are transforming the insurance industry. You will have the opportunity to work on exciting, innovative projects that have a real impact on customers financial futures.

Competitive salary and benefits package
Opportunities for career growth and development
A dynamic, collaborative, and supportive work environment

Software Engineer II - AI/ML

Software Engineer II - AI / ML