Machine Learning Engineer
3 weeks ago
Join Our Advanced Analytics Team
This is a machine learning engineer role in our Advanced Analytics team to support Financial & Lifestyle Services (e.g. Insurance) on activities related to ML operation, campaign automation, data pipeline development, production monitoring, dashboard development and maintenance.
Make an Impact by:
- Collaborate with internal stakeholders to translate prototypes into production code
- Responsible for setting up data pipelines, job monitoring, and alerts in production
- Maintain automation jobs and data quality monitoring
- Set up campaign performance tracking on production dashboards
- Support the continuous exploration and research on internal and external data sources to sharpen targeting
- Implement DataOps/MLOps pipelines in production
Key Skills for Success
- Good degree in engineering, science, IT, or related field
- Minimum 2 years of experience in a relevant field
- Proficient in Python, Java, and SQL
- Well-versed in data engineering and big data frameworks (Hadoop, Spark, Impala, Hive, etc.)
- Familiar with MLOps and DevOps, CI/CD
- Experience in ETL development, data profiling, and data quality management
- Good team player
- Strong organizational skills and conscientious personality
- Meticulous, proactive, and dynamic with the ability to work independently
- Effective communication and people engagement skills
Benefits that Go Beyond
- Full suite of health and wellness benefits
- Ongoing training and development programs
- Internal mobility opportunities
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