Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.
As a Machine Learning Engineer – Document Digitization (LLMs)- Senior Associate within the Global Technology team, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.
Job responsibilities- Design, develop, and integrate AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.
- Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.
- Employ generative AI and large language models (LLMs) to automate and optimize document workflows.
- Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
- Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
- Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.
- Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.
- Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
- Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
- Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.
- Contribute to communities of practice and explore new and emerging technologies.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field, with relevant industry experience.
- Proficiency in Python; familiarity with Java and front-end technologies (React.js, AngularJS).
- Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, PyTorch Lightning).
- Knowledge of generative AI techniques (GANs, VAEs, transformers, diffusion models) and LLMs.
- Experience with AWS services (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon Elastic Kubernetes Service (EKS)), and infrastructure as code (Terraform).
- Familiarity with NoSQL and search technologies (MongoDB Atlas, Elasticsearch, OpenSearch, Neo4j).
- Experience using autonomous code agents and agentic development workflows for code generation and refactoring.
- Understanding of the software development lifecycle (SDLC), continuous integration/continuous delivery (CI/CD), resiliency, and security practices.
- Experience deploying and maintaining AI/ML solutions in large-scale production environments; effective problem-solving, communication, and collaboration skills.
- Experience in financial services, including investment banking or credit risk operations.
- Experience with agentic AI frameworks, prompt optimization, and fine-tuning small language models (SLMs).
- Familiarity with distributed computing, data sharing, and distributed data parallel (DDP) training.
- Experience in design reviews, code reviews, and mentoring teams.
- AWS Generative AI Developer – Professional certification or equivalent.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
- Relevant industry experience
- Proficiency in Python
- Familiarity with Java and front-end technologies including React.js and AngularJS
- Hands-on experience with AI/ML model development, deployment, and MLOps in production environments
- Experience with TensorFlow, PyTorch, scikit-learn, and PyTorch Lightning
- Knowledge of generative AI techniques including GANs, VAEs, transformers, diffusion models, and LLMs
- Experience with AWS SageMaker and Bedrock
- Experience with Docker, Kubernetes, Amazon EKS, and Terraform
- Familiarity with MongoDB Atlas, Elasticsearch, OpenSearch, and Neo4j
- Experience using autonomous code agents and agentic development workflows
- Understanding of SDLC, CI/CD, resiliency, and security practices
- Experience deploying and maintaining AI/ML solutions in large-scale production environments
- Effective problem-solving, communication, and collaboration skills
- Experience in financial services, investment banking, or credit risk operations
- Experience with agentic AI frameworks, prompt optimization, and fine-tuning small language models
- Familiarity with distributed computing, data sharing, and distributed data parallel training
- Experience with design reviews, code reviews, and mentoring teams
- AWS Generative AI Developer - Professional certification or equivalent
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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