DescriptionAre 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.
DescriptionAre you ready to play a pivotal role in shaping the future of Data & AnalyticsAs 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...
DescriptionAre 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.
View more
View less