Machine Learning Engineer
Summary
Build and deploy ML models to enhance wealth management services using Python, TensorFlow/PyTorch, and cloud platforms.
Machine Learning Engineer at Julius Baer
About the role
Julius Baer is looking for a talented machine learning engineer to join our agile development teams within the ML & AI ART. In this position, you will be instrumental in creating, developing, and sustaining scalable AI solutions as part of our commitment to transforming wealth management.
Key facts
Location: Singapore
Engagement: Full-time
Team: ML & AI ART
What you\'ll do
- Design and implement machine learning models to solve complex problems in wealth management.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Requirements
- A degree in Computer Science, Engineering, Mathematics, or a related field.
- At least 3 years of experience in machine learning or data science.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of machine learning frameworks and libraries, including TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with data processing tools such as SQL and Hadoop.
Nice to have
- Knowledge of financial services or wealth management industry.
- Experience with DevOps practices and tools.
- Understanding of data visualization tools like Tableau or Power BI.
Skills & tools
- Machine learning frameworks: TensorFlow, PyTorch
- Programming languages: Python, R, Java
- Cloud services: AWS, Azure, Google Cloud
- Data processing: SQL, Hadoop
- Data visualization: Tableau, Power BI
Practical notes
This position is open to candidates who require a work visa. We offer competitive benefits and opportunities for professional growth. Applications will be accepted until (insert application deadline).