Artificial Intelligence Engineer

Position - Artificial Intelligence Engineer

Qualifications

• Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 3+ years of proven experience with managing implementation lifecycle for delivery of AI applications.
• In-depth knowledge of Prompt Engineering, LLM fine-tuning, and chaining technology.
• Proficiency in applied econometrics, time series analysis and statistical analysis
• Proficiency in the AI open-source ecosystem.
• Strong knowledge of quantitative techniques used in portfolio and risk analytics, with focus on fixed income portfolios
• Working knowledge of Snowflake (preferred, but not mandatory)
• Research mindset and strong analytical and problem-solving skills
• Documentation skills
• Excellent team player with good interpersonal skills and strong sense of client service
• Excellent written and verbal communication skills
• Ability to think conceptually and challenge traditional thought processes

Responsibilities

• Collaborate with strategic customers to understand their AI needs and deliver innovative solutions.
• Study large datasets and perform time series analysis of relevant market or economic variables to glean insights on trends, patterns, anomalies and errors

Conduct deep technical architecture discussions with senior customer executives, Enterprise Architects, Data Scientists, and Developers.

• Create prototypes, as well as design and document mathematical and statistical models used in portfolio.

Develop Generative AI-powered applications integrated with the broader AI portfolio.

• Develop internal risk management frameworks and analytics platforms for model deployment
• Adopt best practices for modelling, risk analysis and documentation
• Keep abreast of accepted practices and research on quantitative risk analytics through the perusal of academic literature and respected financial and economic journals
• Focus on quality, attention to detail, accuracy, efficiency and adherence to tight deadlines
• Mentor junior quantitative analysts and conduct training sessions on mathematical modelling, quantitative analytics and risk management

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