Transform investment processes and client experiences with innovative natural language and machine learning solutions.
Requirements
Advanced Python programming skills with production-quality coding experience
Experience working with structured and unstructured data
Experience in prompt engineering and domain adaptation
Understanding of foundational ML algorithms such as clustering and decision trees
Proficiency with SQL and Snowflake
Experience applying NLP, LLM, and ML techniques to solve business problems such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting
Responsibilities
Design and implement natural language interfaces that enhance decision-making and optimize operational processes.
Apply large language models, machine learning techniques, and statistical analysis to enhance decision-making and workflow efficiency
Collect and curate datasets for evaluation and continuous improvement
Perform experiments with model architectures, hyperparameters, and evaluation metrics
Monitor and improve model performance through feedback and active learning
Work with technology teams to deploy and scale models in production
Stay current with research in LLM, ML, and data science, leveraging emerging techniques for ongoing enhancement
Other
Collaborate with internal stakeholders to identify business needs and develop NLQ solutions that drive transformation
Work closely with business stakeholders, technologists, and control partners to deploy solutions into production.
Deliver written, visual, and oral presentations of modeling results to stakeholders
Ability to communicate complex concepts and results to technical and business audiences
