Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 3000 employees spread across 20 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.
As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.
Our team in Singapore is currently looking for a Machine Learning Engineer, in order to support our client activities.
Main responsibilities
- Co-work with data scientists in our Client Asia Team
- Understand the current Omni-channel Recommendation Engine System
- Explore and understand the available data
- Work on feature engineering for the Machine Learning models
- Build and tune Machine Learning models
- Solve the optimization problem as part of the Recommendation System
- Build workflow (Airflow) pipeline
We are specifically using the following technologies:
Python (PySpark, Kedro), Spark, Airflow, Kubernetes, Jenkins, Bitbucket
The candidate doesn’t have to master all of these technologies, but a first experience would be appreciated.
Qualifications
- 3-6 years of machine learning engineering experience
- Demonstrated experience of turning business use cases and requirements to technical solutions.
- Experience in business processing mapping of data and analytics solutions.
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
- The ability to apply such methods to solve business problems and building data pipelines, data streams, and system integration.
- Previous exposure to Python (PySpark, Kedro), Spark, Airflow, Kubernetes, Jenkins, Bitbucket
