Are you ready to play a pivotal role in shaping the future of Data & Analytics?
As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling.
As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry.
Job Responsibilities:
- Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives
- Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies
- Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance
- Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise
- Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows
- Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices
- Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders
- Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency
- Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement
Required qualifications, capabilities, and Skills:
- 7+ years of work experience.
- Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc
- Proven track record of delivering projects in the AI/ML and data analytics space
- Proficiency in Python.
- Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents.
- Strong understanding of software engineering principles and practices, including version control, testing, and code optimization
- Technical documentation experience preferred.
Preferred qualifications, capabilities and skills:
- Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.