Machine Learning Engineer
7 months ago
Be a Part of Something BIG
This is a machine learning engineer role in Advanced Analytics team to support Financial & Lifestyle Services (eg. Insurance) on activities related to ML operation, campaign automation, data pipeline development, production monitoring, dashboard development and maintenance.
Make an Impact by:
Work with internal stakeholders to translate prototype into production code Responsible of setting up data pipeline, job monitoring and alert in production Maintenance of automation jobs and data quality monitoring Setting up of campaign performance tracking on production dashboard Support the continuous exploration & research on internal and external data sources to sharpen the targeting Implementation of DataOps/ MLOps pipeline in productionSkills for Success
Good degree in engineering, science, IT or related field. Minimum 2 years experience in 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 skill & conscientious personality. Meticulous, proactive and dynamic with ability to work independently. Effective communication and people engagement skills.Rewards that Go Beyond
Full suite of health and wellness benefits Ongoing training and development programs Internal mobility opportunitiesYour Career Growth Starts Here. Apply Now
We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.
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