Machine Learning Engineer
Posted
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).
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).