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
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)
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Yes. We’ve followed 2 other Machine Learning Engineer jobs there since July 2026. All 2 are still up.
Place not statedStill up after 130 days, first seen Jul 6
Place not statedStill up after 11 days, first seen Nov 2
This jobUp 11 days so far, first seen Nov 2
Jul 6Today
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.
August 17Last week
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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.
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
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
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