Machine Learning Engineer

KAITO PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

KAITO PTE. LTD. in Singapore is hiring a ML Engineer to develop and productionize ML systems for customer-facing products using KAITO’s algorithms.

You will lead ML system design for recommendation and search ranking, build data pipelines, and collaborate with cross-functional teams to deploy models end-to-end. The role emphasizes ML excellence, advanced techniques, and clear communication of results to stakeholders.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Java

JavaScript

LLMs

NLP techniques

Data visualization

Data analysis

System design

ML engineering

Recommender systems

Search ranking

Education

Bachelor's or Master's in Computer Science / Software Engineering

Tools

PyTorch

scikit-learn

Vue.js

SvelteKit

Job description

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.