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)-Vice President in our organization, 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
- Lead the design, development, and integration of 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.
Required qualifications, capabilities, and skills
- Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.
- Strong proficiency in Python programming; 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.
- Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).
- Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.
- Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
- Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).
- Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.
- Strong understanding of SDLC, CI/CD, resiliency, and security practices.
- Demonstrated ability to accelerate development using AI technologies.
- Experience deploying and maintaining AI/ML solutions in large-scale, production environments. and strong problem-solving, communication, and collaboration skills.
Preferred qualifications, capabilities, and skills
- Experience in financial services, especially investment banking or credit risk operations
- Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs
- Familiarity with distributed computing, data sharing, and DDP training
- Experience in design/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 in Computer Science, Data Science, Machine Learning, or related field
- Strong proficiency in Python programming
- Familiarity with Java
- Familiarity with front-end technologies (React.JS, AngularJS)
- Hands-on experience with AI/ML model development, deployment, and MLOps practices in production
- Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning)
- Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs
- Experience with AWS cloud platforms (SageMaker, Bedrock)
- Experience with containerization and orchestration (Docker, Kubernetes, Amazon EKS)
- Experience with infrastructure as code (Terraform)
- Familiarity with NoSQL and search/datastore technologies (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J)
- Experience with agentic coding approaches and autonomous code agents
- Strong understanding of SDLC, CI/CD, resiliency, and security practices
- Experience deploying and maintaining AI/ML solutions in large-scale, production environments
- Strong problem-solving, communication, and collaboration skills
- Mentoring junior engineers and promoting best practices
- Ability to develop dashboards and reporting tools to monitor model and workflow performance
- Conduct model validation and human-in-the-loop review processes
- Contribute to communities of practice and explore emerging technologies
- Experience in financial services (investment banking or credit risk operations)
- Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs
- Familiarity with distributed computing, data sharing, and DDP training
- Experience in design/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 — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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