Software Engineer II - AI / ML

Who We Are:

Be Bold

Who You Are:

Python Developer

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 d

  atab

  ases (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