Machine Learning Engineer at Julius Baer International Limited

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

06 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Large Language Models, RAG Systems, AI Agents, Agentic Workflows, DevOps, Data Pre-processing, Feature Engineering, Model Evaluation, Linear Algebra, Probability, Version Control, Software Testing, Prompt Engineering

Industry

Banking

Description

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. GENERAL 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. YOUR CHALLENGE KEY FEATURES and accountabilities Key Responsibilities 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 pre-processing, 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. We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here. The international reference in wealth management Julius Baer is the leading Swiss wealth management group. We focus on servicing and advising sophisticated private clients from around the world, taking into account what truly matters to them – in their business and personal life, today and for future generations. Headquartered in Zurich, we are present in around 60 locations worldwide, including Bangkok, Dubai, Dublin, Frankfurt, Geneva, Hong Kong, London, Luxembourg, Madrid, Mexico City, Milan, Monaco, Mumbai, Santiago de Chile, Shanghai, Singapore, Tel Aviv, and Tokyo. Why join Julius Baer? At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders. With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team of highly motivated colleagues, bringing the best of the bank to our clients. Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners. Committed to your success Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes. For more information visit www.juliusbaer.com or contact us via the Contact Form. For recruiting agents, please see the additional information here.

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Responsibilities

Design, build, and maintain scalable AI solutions, including multi-agent systems and RAG implementations, within a DevOps environment. Collaborate with cross-functional teams to optimize AI models and integrate them into existing enterprise processes.