Overview
Join to apply for the AI Data Scientist role at Macquarie Group. Become part of a dynamic and innovative group within our Commodities and Global Markets AI team, dedicated to delivering sophisticated Generative AI (GenAI) solutions. Our team drives advancements in trading, risk management, and client services across global markets. We foster a supportive, collaborative environment that values expertise, encourages curiosity, and thrives on pushing the boundaries of AI innovation.
Macquarie brings together diverse people and empowers them to shape possibilities. We are a global financial services group operating in 31 markets and with 56 years of profitability. You'll be part of a friendly and supportive team where everyone contributes ideas and drives outcomes.
Responsibilities
As an AI Data Scientist (GenAI & Engineering Hybrid), you will take a leading role in designing, prototyping, and deploying cutting-edge Generative AI solutions to tackle complex business challenges. Your responsibilities will span both GenAI and engineering domains, focusing on solving business problems, rapid prototyping, prompt engineering, engaging with stakeholders, and delivering actionable insights. You will also contribute by writing production-grade code, integrating APIs, managing databases, developing CI/CD pipelines, and building scalable, maintainable AI systems.
In addition to driving technical excellence, you will serve as a senior technical mentor within the data science stream, collaborating closely with a team of dedicated platform engineers. You'll also have the flexibility and capability to step into engineering tasks when needed, ensuring seamless integration and delivery of AI solutions.
Qualifications
* Proven expertise in Generative AI (GenAI) and Large Language Models (LLMs), including hands-on experience with LLMs, Retrieval-Augmented Generation (RAG) techniques, AI agents, prompt engineering, and frameworks such as LangChain, LlamaIndex, LangGraph, AWS Bedrock Agents & Bedrock Agentcore, GCP Agentspace, etc.
* A hybrid data science and engineering skillset, with a strong ability to productionise AI/ML models in Python, write maintainable code, and work in cloud environments (AWS, GCP, Azure).
* A personal passion for GenAI, demonstrated through personal projects, experimentation, or active use of tools like GitHub Copilot or Claude Code to enhance creativity and productivity.
* Strong business and communication skills, including the ability to translate technical concepts into business value and collaborate effectively with stakeholders to deliver impactful solutions.
* Leadership and mentoring experience, with a passion for knowledge sharing and fostering a high-performing, collaborative team culture.
Benefits
* 1 wellbeing day per year
* Up to 5 additional service bonus leave days per year
* Up to 20 weeks' paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks' paid leave for non-primary caregivers
* 2 days of paid volunteer leave and donation matching
* Up to 12 months' gender affirmation leave, including 6 weeks' paid leave
* Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
* Access to a wide range of salary packaging options
* Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
* Hybrid and flexible working arrangements, dependent on role
* Reimbursement for work from home equipment
Diversity, Equity and Inclusion
We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.
Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.
Job details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Engineering and Information Technology
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