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Machine Learning Engineer

Reads like an AI Engineer role: building products on existing AI models.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Build and deploy machine learning and AI solutions for complex business problems

  • Create multi-agent systems and give AI models function/tool-calling abilities

  • Design and implement RAG systems that ground AI answers in enterprise data

  • Assess and integrate LLMs and other AI models for performance and reliability

  • Test and tune system prompts and few-shot examples for accurate, safe outputs

From the employer’s posting
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
Testing and optimizing system prompts and few-shot example to ensure accurate , consistent, and safe AI outputs
Education & alternatives
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
Apply at Julius Baer Gruppe

Posting record

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 202611 days ago
Recorded sightings
11
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 11

Similar jobs usually come down between day 4 and day 77.

At Julius Baer Gruppe, jobs usually come down by about day 27.

From 51 similar postings that came down, and 24 of Julius Baer Gruppe’s. Coming down is not always a hire.

Julius Baer Gruppe is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • PyTorch
  • TensorFlow
Where the posting names them
- 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)

Your next step

Complete your application on juliusbaer.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Has Julius Baer Gruppe posted this job before?

Yes. We’ve followed 2 other Machine Learning Engineer jobs there since July 2026. All 2 are still up.

  1. Place not statedStill up after 130 days, first seen Jul 6
  2. Place not statedStill up after 11 days, first seen Nov 2
  3. This jobUp 11 days so far, first seen Nov 2

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

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 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 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

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.

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Location & working pattern

Singapore

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