- Outram Central Region (Singapore) Singapore
全职 Machine Learning Engineer 工作, 薪水 up to SGD 9,500, KAITO Central Region (Singapore) 公司招聘中 - Ricebowl
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Job Description
Develop and productionize ML systems for customer-facing products using Kaito’s algorithms.
Lead ML system design for recommendation systems and search ranking.
Drive ML excellence and influence engineering best practices across teams.
Work on ranking, classification, recommendation, sentiment analysis, and optimization problems.
Design, develop, and implement ML models and algorithms to solve complex business problems.
Build and optimize data processing pipelines for structured and unstructured data using LLMs.
Explore state-of-the-art ML techniques and develop highly efficient, scalable solutions.
Implement end-to-end ML solutions, from data preprocessing and experimentation to model deployment.
Collaborate with cross-functional teams to integrate ML capabilities into production systems.
Communicate and advocate technical solutions to research, engineering, and business stakeholders.
Conduct research and experiments to improve model performance and system efficiency.
Create and maintain technical documentation for ML systems and models.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
1+ year of relevant experience in ML engineering or a related field.
Strong programming skills in Python, Java, and JavaScript.
Experience with PyTorch and scikit-learn.
Knowledge of LLMs and NLP techniques.
Familiarity with full-stack development using Vue.js, SvelteKit, or similar frameworks.
Experience in data mining, data analysis, and data visualization.
Understanding of software development principles and system design.
Experience with recommendation systems, search ranking, or large-scale ML production systems is a plus.
Develop and productionize ML systems for customer-facing products using Kaito’s algorithms.
Lead ML system design for recommendation systems and search ranking.
Drive ML excellence and influence engineering best practices across teams.
Work on ranking, classification, recommendation, sentiment analysis, and optimization problems.
Design, develop, and implement ML models and algorithms to solve complex business problems.
Build and optimize data processing pipelines for structured and unstructured data using LLMs.
Explore state-of-the-art ML techniques and develop highly efficient, scalable solutions.
Implement end-to-end ML solutions, from data preprocessing and experimentation to model deployment.
Collaborate with cross-functional teams to integrate ML capabilities into production systems.
Communicate and advocate technical solutions to research, engineering, and business stakeholders.
Conduct research and experiments to improve model performance and system efficiency.
Create and maintain technical documentation for ML systems and models.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
1+ year of relevant experience in ML engineering or a related field.
Strong programming skills in Python, Java, and JavaScript.
Experience with PyTorch and scikit-learn.
Knowledge of LLMs and NLP techniques.
Familiarity with full-stack development using Vue.js, SvelteKit, or similar frameworks.
Experience in data mining, data analysis, and data visualization.
Understanding of software development principles and system design.
Experience with recommendation systems, search ranking, or large-scale ML production systems is a plus.
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