Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate
JPMorgan Chase20 hours ago
Base Salary
$138k - $195k/yr
Responsibilities
- Design, develop, and integrate AI-powered document digitization solutions for extracting information and insights from diverse documents.
- Manage the end-to-end AI/ML lifecycle, including model training, validation, deployment, monitoring, and continuous improvement.
- Apply generative AI and large language models to automate and optimize document workflows.
- Build scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
- Provision and manage AWS cloud resources with Terraform, including SageMaker and Bedrock services.
- Ensure the scalability, reliability, security, compliance, and governance of AI/ML solutions.
- Develop dashboards and reporting tools to monitor accuracy, workflow efficiency, and business impact.
- Conduct model validation, human-in-the-loop review, and continuous improvement activities.
- Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
- Collaborate with cross-functional teams to modernize legacy document processing systems and participate in technical communities of practice.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field, with relevant industry experience.
- Proficiency in Python and familiarity with Java and front-end technologies such as React.js and AngularJS.
- Hands-on experience developing, deploying, and operating AI/ML models and MLOps practices in production.
- 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, AWS Bedrock, Docker, Kubernetes, Amazon Elastic Kubernetes Service (EKS), and Terraform.
- Familiarity with MongoDB Atlas, Elasticsearch, OpenSearch, and Neo4j.
- Experience using autonomous code agents and agentic development workflows for code generation and refactoring.
- Understanding of software development lifecycle, continuous integration and delivery, resiliency, and security practices.
- Preferred qualifications include financial services experience, agentic AI framework experience, prompt optimization, small language model fine-tuning, distributed computing, distributed data parallel training, design and code reviews, mentoring, and AWS Generative AI Developer – Professional certification or equivalent.
Benefits
- Competitive total rewards and benefits package, with eligibility-based healthcare coverage, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and on-site health and wellness centers.
- Additional compensation and benefits details are provided during the hiring process.
- The employer is an equal opportunity employer and provides reasonable accommodations.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.