Machine Learning Engineer

Title: Machine Learning Engineer

Location: Singapore

Description:

We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.

Key features of the position

Functional / Technical

·      Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.

·      Create multi-agent systems and equip AI models with function/tool-calling capabilities

·      Design and implement RAG systems to ground AI responses in enterprise data

·      Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability

·      Optimize agentic workflows and AI agents for production use cases

·      Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs

·      Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them

·      Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes

·      Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Skills Requirements Of the Position:

Competencies:

·      Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges

·      Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization

·      Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule

·      Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence

·      Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

·      Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

·      Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch

·      Proven experience working with Large Language Models (LLMs)

·      Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns

·      Experience with data preprocessing, feature engineering, and model selection and evaluation techniques

·      Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization

·      Understanding software development best practices, including version control, testing, and documentation

·      Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively

·      Minimum 3 – 6 years of relevant work experience in machine learning, data science or a related field