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Home Lending Data & Analytics – Applied AIML Engineer
Home Lending Data & Analytics – Applied AIML EngineerJPMorganChase • Jacksonville, Florida, USA
Home Lending Data & Analytics – Applied AIML Engineer

Home Lending Data & Analytics – Applied AIML Engineer

JPMorganChase • Jacksonville, Florida, USA
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  • [job_card.full_time]
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Description

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.

    • Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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