Zinnia - Software Engineer III - Artificial Intelligence/Machine Learning

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.

We are looking for a passionate and skilled Python, AI/ML Engineer with 5-7 years of experience to join our team.

You will work on cutting-edge projects involving Generative AI, machine learning, and scalable systems, helping to build intelligent solutions that deliver real business value.

If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we'd love to hear from you.

What You'll Do

• Design, develop, and deploy machine learning models and Generative AI solutions.
• Work on end-to-end ML pipelines, from data ingestion and preprocessing to model deployment and monitoring.
• Collaborate with cross-functional teams to understand requirements and deliver AI-driven features.
• Build robust, scalable, and well-documented Python-based APIs for ML services.
• Optimize database interactions and ensure efficient data storage and retrieval for AI applications.
• Stay updated with latest trends in AI/ML and integrate innovative approaches into projects.
  
  

What You'll Need

• Python :Strong hands-on experience.
• Machine Learning : Practical knowledge of supervised, unsupervised, and deep learning techniques.
• Generative AI : Experience working with LLMs or similar GenAI technologies.
• API Development : RESTful APIs and integration of ML models into production services.
• Databases : Experience with SQL and NoSQL databases (e., PostgreSQL, MongoDB, etc.
  
  

Good To Have Skills

• Cloud Platforms : Familiarity with AWS, Azure, or Google Cloud Platform (GCP).
• TypeScript/JavaScript : Frontend or full-stack exposure for ML product interfaces.
• Experience with MLOps tools and practices (e., MLflow, Kubeflow, etc.
• Exposure to containerization (Docker) and orchestration (Kubernetes).
  
  

(ref:hirist.tech)