Roles & Responsibilities:
- Work closely with Business Users, Product Owners, Business Engineers, Data Scientists, and technology team to understand data science and machine learning requirements.
- Design & build AI/ML platform to automate predictive models and run data science use cases at scale.
- Work closely with Data Scientist to deploy data science prototypes in production.
- Monitor the algorithms and ensuring that they generate accurate results.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
- Responsible to ensure that AI/ ML solutions meets bank-wide ML modelling guidelines and standards
This position requires:
- Advanced degree in computer science, data science, mathematics, statistics, physics, or a related field.Extensive data modelling and data architecture skills
- Solid programming skills in Python, R or Java, hands on experience in SQL & PL/SQL, ETL tool (PowerCenter Informatica) and Linux and Control-M knowledge is plus.
- Knowledge of Hadoop (Kafka, Spark, Impala, Hive).
- Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Ability to develop, monitor, debug and maintain a CI/CD pipeline that feeds into a production deployment.
- Good command and experience in building and maintaining Data Science and Business Intelligence applications.
- Excellent analytical and problem-solving abilities.
