Software Engineer III - AI / ML
Description For Software Engineer III - AI / ML
Zinnia, a leading technology platform in the life and annuities sector, is seeking a Senior Software Engineer specialized in AI/ML to join their innovative team. With over $180 billion in assets under administration and serving 100+ carrier clients, Zinnia is at the forefront of transforming insurance technology.
The role demands a passionate Python and AI/ML Engineer with 5-7 years of experience to work on cutting-edge projects involving Generative AI and machine learning. You'll be responsible for designing and implementing end-to-end ML pipelines, from data processing to model deployment, while building scalable Python-based APIs for ML services.
The ideal candidate should have strong expertise in Python, machine learning techniques, and experience with LLMs. Knowledge of both SQL and NoSQL databases is essential, while familiarity with cloud platforms (AWS/Azure/GCP), TypeScript/JavaScript, and MLOps tools would be advantageous.
This position offers the opportunity to work with smart, creative professionals dedicated to delivering cutting-edge technologies and deeper data insights. You'll be part of a team that values bold thinking, collaboration, and delivering value, while working on transformative solutions in the insurance industry.
Responsibilities For Software Engineer III - AI / ML
- 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
Requirements For Software Engineer III - AI / ML
- Strong hands-on experience in Python
- Practical knowledge of supervised, unsupervised, and deep learning techniques
- Experience working with LLMs or similar GenAI technologies
- Experience with RESTful APIs and integration of ML models into production services
- Experience with SQL and NoSQL databases (PostgreSQL, MongoDB)
- 5-7 years of experience
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