Artificial Intelligence Engineer

Design and develop generative AI and machine learning solutions to address fixed income investment and business problems.

Experiment with and implement generative AI techniques such as retrieval-augmented generation (RAG), embeddings, and LLM-based workflows.

Build, train, and fine-tune machine learning and deep learning models using appropriate frameworks and methodologies.

Analyze large structured and unstructured datasets to extract insights, engineer features, and support model development.

Apply statistical methods and hypothesis-driven experimentation to evaluate model performance and validate results.

Work closely with portfolio managers, researchers, and business stakeholders to translate investment problems into data science solutions.

Contribute to the deployment and integration of models into production systems, including APIs and scalable pipelines.

Collaborate with data engineers to ensure high-quality data pipelines and efficient data access.

Ensure adherence to responsible AI principles including model interpretability, fairness, and data governance.

Communicate model outputs, insights, and recommendations clearly to technical and non-technical stakeholders.

• Stay updated with advancements in AI, machine learning, and quantitative methods to continuously enhance solutions