Machine Learning Engineer, Insurance
Job details
Our client is a leading insurance provider committed to delivering innovative solutions and personalized services to their customers. They are currently seeking a highly skilled and motivated Machine Learning Engineer to join their Singapore Analytics team. As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models to address various challenges in the insurance domain. You will collaborate closely with cross-functional teams to leverage data-driven insights and enhance their products and services. Key Responsibilities:
- Develop and implement machine learning models to solve business problems
- Design and optimize algorithms for predictive modeling, leveraging techniques such as supervised learning, unsupervised learning, and reinforcement learning.
- Collaborate with data engineers to build scalable data pipelines for processing and analyzing large volumes of structured and unstructured data.
- Utilize SQL to extract and manipulate data from relational databases and data warehouses.
- Write clean, efficient, and maintainable code in Python for model development and deployment.
- Utilize Spark (PySpark) for distributed data processing and machine learning tasks
- Work closely with business stakeholders to understand requirements, gather feedback, and iterate on solutions.
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