Machine Learning Modeling Engineer

We are seeking a talented Machine Learning Data Engineer with a solid software engineering background and experience in building and understanding predictive models. The ideal candidate will bring expertise in the P&C insurance industry and possess proficiency in SQL, Azure, and Databricks. Experience with Generalized Linear Models (GLM) is a valuable asset.

Key Responsibilities:

1. Develop and implement machine learning models and data solutions to support insurance operations.
2. Collaborate with data scientists, software engineers, and other stakeholders to ensure the successful deployment of models
3. Manage and process data within cloud environments, primarily using Azure services.
4. Utilize Databricks for data processing and model deployment.
5. Develop and maintain data pipelines and data integration solutions.
6. Ensure scalability and reliability of machine learning solutions.
7. Apply Generalized Linear Models (GLM) techniques to enhance predictive modeling and pricing strategies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Strong software engineering background with proficiency in programming languages such as Python, Java, or C++.
• Solid understanding of machine learning concepts with hands-on experience in building and deploying models.
• Extensive experience in SQL and data manipulation.
• Hands-on experience with Azure services, including Azure Data Factory.
• Proficiency in Databricks for data engineering and model deployment.
• Knowledge of various databases and their implementation in cloud environments.
• Experience in the Property & Casualty (P&C) insurance industry is highly preferred.

Preferred Qualifications:

• Experience with Generalized Linear Models (GLM).
• Previous experience in the Property & Casualty (P&C) insurance industry.
• Experience with large-scale data processing and integration.
• Strong problem-solving skills with the ability to work collaboratively in a team environment