Machine Learning data engineerSiam Commercial Bank Public Company Limited

Job Description
Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of the bank
Join forces with team-mates and other data solutions development divisions in assisting data solutions delivery to implement the data-platform product roadmap
Develop and maintain data integration processes that are part of the bank's data platform, whether building data pipelines or micro services or tools
Implement and automate optimized data pipelines, ETL solutions, model data stores according to internal business, external business and product requirements
Build best practices and strategies for the data platform to achieve data analytics and utilization milestones as per business and management roadmap
Collaborate with data science and create reusable data-assets in order to automate and speed up machine learning model development
Deliver full blown productionized solutions employing mature production-ready machine learning models
Ensure data-assets are organized and stored in most efficient way so that all information is readily available for easy access and retrieval
 
Qualification
Ideal academic background would be a BSc or MSc degree in statistics, mathematics, quantitative analysis, computer science,computer engineering, software engineering or information technology
Interest in relevant experience with scripting, developing, debugging and using Big Data technologies (e.g. Hadoop, Spark, Flink, Kafka), respectively working with SQL/NoSQL/Graph data store technologies
Desire in getting experience with functional/trait-oriented languages
Willingness to develop a mature problem-solving mindset
Eagerness to gain a deep understanding of Information Security principles and discipline
Having a clear understanding of Agile principles, practices and Scrum methodologies
 
Prefer Qualification  
Has the know-how and the scripting and coding prowess to set up, configure & maintain a machine learning model development environment
Experience architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to (tens of) millions of users 
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