Machine Learning Engineer
Julius Baer2 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 LLMs and optimize AI agents and agentic workflows for production use.
- 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.
- Participate in code reviews, testing, debugging, and quality assurance for machine learning solutions.
- Follow applicable regulatory, risk management, compliance, integrity, and customer-fairness requirements.
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.
- 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 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.
- Relevant work experience in machine learning, data science, or a related field.
- Strong analytical, problem-solving, communication, collaboration, prioritization, debugging, and continuous-learning abilities.
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