Building the foundation of the machine learning function at a market-leading insurance company, CRC Group, and shaping the ML strategy, frameworks, and operating model
Requirements
- Strong proficiency in Python and ML frameworks
- Experience with Databricks and Azure for data engineering and ML workflows
- Familiarity with MLOps tools (MLflow, Lakehouse Monitoring, Azure DevOps) and CI/CD practices
- Solid understanding of data science and engineering principles and model lifecycle management
- 5+ years total in data analytics, infrastructure, engineering and science roles
- 2+ years in applied ML engineering or data science roles
- Proven track record of deploying ML models into production environments
Responsibilities
- Partner with the Head of ML, product and data teams to define and implement the company-wide ML framework and best practices
- Ideate, design and build ML and AI prototypes to validate priority use cases and solve complex business problems
- Develop and deploy production-grade ML models and data pipelines
- Build orchestration and integration frameworks for ML models and pipelines
- Develop and maintain CI/CD pipelines for ML solutions, including test automation
- Monitor, maintain, and retrain models in production to ensure performance and compliance
- Implement robust monitoring and alerting systems for ML services
Other
- Bachelor’s Degree and six to ten years of experience or equivalent education and software engineering training or experience
- Ability to work independently and collaboratively in a fast-paced environment
- Strong communication skills to influence stakeholders and explain technical concepts
- Ability to provide direction and mentor less experienced teammates
- Ability to interpret and convey complex, difficult, or sensitive information
