Artificial Intelligence Engineer, Portfolio Management Group, Associate
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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop generative AI and machine learning solutions targeting fixed income investment and business problems.
Collaborate with portfolio managers, researchers, and stakeholders to translate investment problems into data science solutions and integrate models into production systems.
Analyze large structured and unstructured datasets, apply statistical methods, and ensure responsible AI principles including interpretability, fairness, and governance are followed.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
4+ years of relevant experience in AI/ML solution development.
Proficiency in Python and frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain.
Experience with large-scale data analytics tools (Pandas, Snowflake), cloud platforms (GCP, Azure, AWS), and version control systems (Git/GitHub).
Ideal Candidate Profile
Experience applying advanced generative AI techniques (eg. RAG, embeddings, LLM workflows) in financial services or enterprise environments.
Ability to work across geographies and time zones, collaborating effectively with business and technical teams.
Strong analytical skills with a focus on solving real-world finance problems using AI and data science approaches.