Full-timeTech & engineering· Posted 5 Jul

Machine Learning Engineer

Julius BaerFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

Join an agile development team within a machine learning and AI group at a wealth management firm in Singapore. You will help design, build and maintain scalable AI solutions in a DevOps setting, working across the full lifecycle from concept to deployment with cross-functional colleagues. It suits someone with solid Python and ML experience who enjoys collaborative, production-focused AI work.

What you'll do

Develop, deploy and optimise machine learning and AI solutions for complex business problems
Build multi-agent systems and give AI models function and tool-calling abilities
Design and implement RAG systems that ground AI responses in enterprise data
Assess and integrate AI models such as LLMs for performance and reliability

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Optimise agentic workflows and AI agents for production use

Test and refine system prompts and few-shot examples for accurate, consistent and safe outputs

Evaluate ML and AI models using suitable metrics, evaluation sets and techniques, then iterate

Work with platform teams, data engineers, data scientists and other stakeholders to integrate solutions

Take part in code reviews, testing and debugging to keep solutions reliable

Uphold values and behaviours covering honesty, integrity, due care, fair dealing, conflict management, competence, risk management and regulatory compliance

Good to know

Full-time role based in Singapore

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics or a related field
Strong Python programming with machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
Proven experience working with Large Language Models
Good understanding of AI agents, agentic workflows, LLM orchestration frameworks and reasoning patterns
Experience with data pre-processing, feature engineering, and model selection and evaluation
Knowledge of statistical and mathematical concepts such as probability, linear algebra and optimisation

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Julius Baer

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Machine Learning Engineer

About the role

What you'll do

Good to know

Requirements

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