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Machine Learning Engineer at Bank Julius Bär & Co. Ltd.

Position Machine Learning Engineer
Posted 08 Jul 2026
Expired 07 Aug 2026
Company Bank Julius Bär & Co. Ltd.
Location Singapore | SG
Job Type Full Time

Job Description:

Latest job information from Bank Julius Bär & Co. Ltd. for the position of Machine Learning Engineer. If the Machine Learning Engineer vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Bank Julius Bär & Co. Ltd. for the position of Machine Learning Engineer below matches your qualifications.

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.

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/task‑calling capabilities.
  • Design and implement Retrieval‑Augmented Generation (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.
  • Test and optimize system prompts and few‑shot examples to ensure accurate, consistent, and safe AI outputs.
  • Evaluate the performance 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 & 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.

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 and 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 of 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.
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Job Info:

  • Company: Bank Julius Bär & Co. Ltd.
  • Position: Machine Learning Engineer
  • Work Location: Singapore
  • Country: SG

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Machine Learning Engineer at the office Singapore above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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