Machine Learning Engineer

2 hours ago

Singapore, SingaporeMid Level

Responsibilities

Develop, deploy, and optimize machine learning and AI solutions for complex business challenges.
Create multi-agent systems and equip AI models with function- and tool-calling capabilities.
Design and implement retrieval-augmented generation systems grounded in enterprise data.
Assess and integrate large language models for performance and reliability.
Optimize AI agents and agentic workflows for production use cases.
Test and optimize system prompts and few-shot examples for accurate, consistent, and safe outputs.
Evaluate machine learning and AI model performance using appropriate metrics, evaluation sets, and techniques.
Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate solutions into existing systems.
Participate in code reviews, testing, debugging, and quality assurance for machine learning solutions.
Follow applicable regulatory, risk management, compliance, integrity, and customer fairness requirements.

Bachelor's or master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Strong programming skills in Python and experience with machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch.
Proven experience working with large language models.
Understanding of AI agents, agentic workflows, LLM orchestration frameworks, and reasoning patterns.
Experience with data preprocessing, feature engineering, model selection, and model evaluation techniques.
Knowledge of probability, linear algebra, optimization, and other mathematical and statistical concepts relevant to machine learning.
Understanding of software development best practices, including version control, testing, and documentation.
Strong problem-solving, analytical, communication, collaboration, prioritization, and debugging skills.
Relevant work experience in machine learning, data science, or a related field.

5,001-10,000 employees