Machine Learning Engineer
Core
Build and transition machine learning and generative AI solutions from research to scalable, production-ready systems for an insurance company.
Role type
Senior Machine Learning Engineer (ML Engineering)
Builds
Production ML models and generative AI services for fraud detection and other business challenges
Domain
Insurance / Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, software engineering best practices, CI/CD, infrastructure as code, containerization, Kubernetes, Azure, Databricks, LLMs/generative AI
Preferred skills
Experience in regulated industries (finance/insurance), project management tools (JIRA)
Technologies
Python, Azure, Databricks, Kubernetes, Git, Azure DevOps, JIRA
Responsibilities
Design and evolve the Data Science platform and ML Engineering function; automate the end-to-end data science lifecycle; collaborate on model development, architecture, and deployment strategies; deploy models to solve real-world business problems
Seniority
Senior, hands-on IC