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Home Lending Data & Analytics – Applied AI/ML Engineer

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Home Lending Data & Analytics – Applied AI/ML Engineer

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jacksonville
Country
United States

Join the Home Lending Data & Analytics Applied AI/ML team to design, build, and deploy AI-driven solutions that improve operational efficiency, employee experience, and data quality. You will collaborate closely with Data Owners, Reporting, Analysis, and Modeling teams to address complex AI/ML and advanced analytics problems, with emphasis on generative AI and foundation LLMs. The role requires ownership of the full code lifecycle, production deployment, monitoring, and technical documentation. Strong software engineering skills, Python proficiency, and experience fine-tuning and scaling models are essential.

Location: Jacksonville, FL, United States

 

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.

 

Home Lending Data & Analytics – Applied AI/ML Engineer 603 – VP

Home Lending Data & Analytics – Applied AI/ML Engineer

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Home Lending Data & Analytics – Applied AI/ML Engineer

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jacksonville
Country
United States

Join the Home Lending Data & Analytics Applied AI/ML team to design, build, and deploy AI-driven solutions that improve operational efficiency, employee experience, and data quality. You will collaborate closely with Data Owners, Reporting, Analysis, and Modeling teams to address complex AI/ML and advanced analytics problems, with emphasis on generative AI and foundation LLMs. The role requires ownership of the full code lifecycle, production deployment, monitoring, and technical documentation. Strong software engineering skills, Python proficiency, and experience fine-tuning and scaling models are essential.

Location: Jacksonville, FL, United States

 

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.

 

Home Lending Data & Analytics – Applied AI/ML Engineer 603 – VP