Applied AI ML Associate

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As an Applied AI/ML Associate within the Asset and Wealth Management Risk team, you will revolutionize how the Private Bank services and advises clients, deepen client engagements, and promote process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents.
while leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment-one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.

Job Responsibilities

• Develops and implements Gen AI and Agentic AI solutions using Python to enhance automation and decision-making processes.
• Develops and maintains machine learning models to solve complex business problems
• Collaborates with cross functional teams to identify opportunities for leveraging data to drive business solutions
• Analyses large, heterogeneous datasets to extract actionable insights and inform decision-making
• Stays updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
• Identifies the right state of the art solutions for the bank's objectives and implement them as clean, production-ready code
• Communicates findings and recommendations through clear and concise reports and presentations

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Proficiency in Python and SQL and familiarity with good software engineering practices
• Excellent written and verbal communication
• Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
• Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus
• Collaborative, humble and enthusiastic attitude

Preferred qualifications, capabilities and skills

• Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc.
• Experience in deep neural networks and familiarity with the latest developments in related fields
• Experience in LLM model fine tuning and continuous learning techniques
• Experience in prompt engineering techniques and state-of-the-art LLM architectures