WHO YOU ARE:

A passionate and skilled Python, AI/ML Engineers with 3-5 years of experience. 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 the 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.g., PostgreSQL, MongoDB, etc.).

Good to have:

• 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.g., MLflow, Kubeflow, etc.)
• Exposure to containerization (Docker) and orchestration (Kubernetes).

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability