Machine Learning Engineer

Julius Baer; Singapore; Presencial; SGD 120.000 - 200.000; Jornada completa

Descripción de la vacante

Julius Baer in Singapore seeks a skilled machine learning engineer to design, deploy, and scale AI solutions within a DevOps framework. You will work across the lifecycle—from concept to deployment—collaborating with platform teams, data engineers, and data scientists.

The role emphasizes multi-agent systems, LLMs, RAG grounding, and robust evaluation, with a focus on production-readiness, safety, and maintainable code.

Formación

• Bachelor's or Master's in Data Science, CS, Math, Statistics or related field.
• Proven experience with Large Language Models (LLMs) and AI agents.
• Strong Python programming with ML libraries/frameworks (e.g., TensorFlow, PyTorch).
• Understanding of AI governance, responsible AI practices.

Responsabilidades

• Develop, deploy, and optimize ML/AI solutions for complex business challenges.
• Create multi-agent systems with function/tool-calling capabilities.
• Design and implement RAG systems to ground AI in enterprise data.
• Assess and integrate AI models (LLMs) for performance and reliability.
• Optimize agentic workflows and AI agents for production use cases.
• Test and optimize prompts, few-shot examples for accurate and safe outputs.
• Evaluate ML/AI performance with appropriate metrics and iteratively improve.
• Collaborate with platform teams, data engineers, and data scientists to integrate solutions.
• Participate in code reviews, testing, and debugging to ensure quality.

Conocimientos

Problem-solving

Communication

Workload management

Learning mindset

Attention to detail

Educación

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

Herramientas

TensorFlow

PyTorch

Git

LLM platforms

Descripción del empleo

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

• 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.

YOUR CHALLENGE

Key Responsibilities

KEY FEATURES and accountabilities

• 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

Regulatory Responsibilities &/OR Risk Management

…

• Demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations.

YOUR PROFILE

Skills Requirements

Personal and Social

• 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

Professional and Technical

• 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
• Relevant work experience in machine learning, data science or a related field