Senior/Staff Machine Learning Engineer - Bidding (Bangkok-based, relocation provided)
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The role
Lead the ML engineering effort for the bidding domain, driving scalability, stability, accuracy, speed, and efficiency of production models.
Build, administer, and scale ML processing pipelines and data workflows using Python, Spark, SQL, Hadoop, and cloud storage.
Understand the internals of ML models (LightGBM, Random Forest, CNNs, regression) to optimize performance and reliability.
Design, test, and deploy new libraries, frameworks, or full systems while maintaining high standards of testing and code quality.
Collaborate with senior engineers and product managers to automate large-scale data management and analysis tasks, enabling end-to-end ML delivery at scale.
Requirements: 6+ years in software engineering with 4+ years in ML; expert in SQL, Python, and JVM languages (Java/Scala); strong design patterns, FP and OOP; analytical problem-solving.
Build, administer, and scale ML processing pipelines and data workflows using Python, Spark, SQL, Hadoop, and cloud storage.
Understand the internals of ML models (LightGBM, Random Forest, CNNs, regression) to optimize performance and reliability.
Design, test, and deploy new libraries, frameworks, or full systems while maintaining high standards of testing and code quality.
Collaborate with senior engineers and product managers to automate large-scale data management and analysis tasks, enabling end-to-end ML delivery at scale.
Requirements: 6+ years in software engineering with 4+ years in ML; expert in SQL, Python, and JVM languages (Java/Scala); strong design patterns, FP and OOP; analytical problem-solving.
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