Applied AI/ML Lead
JPMorgan Chase12 hours ago
Responsibilities
- Lead the design, development, evaluation, and production deployment of AI/ML solutions for image classification, text categorization, OCR-based extraction, and document understanding.
- Develop and fine-tune computer vision, NLP, multimodal, CRNN, transformer, named entity recognition, and semantic understanding models.
- Integrate and optimize OCR and generative AI capabilities, including Amazon Bedrock foundation models, for scanned document processing.
- Architect AWS SageMaker training, hyperparameter tuning, distributed training, model registry, and real-time or batch inference pipelines.
- Integrate trained models into Java- and Python-based microservices deployed on AWS EKS and optimize low-latency, high-throughput GPU inference.
- Establish MLOps practices including model versioning, automated retraining, A/B testing, drift detection, monitoring dashboards, and annotation workflows.
- Design labeling strategies and manage high-quality ground-truth datasets for document AI tasks.
- Build and manage a team of ML engineers and applied scientists and foster experimentation and rigorous model evaluation.
- Present complex technical concepts and model performance to senior leadership and non-technical audiences.
Requirements
- Master's or PhD in a quantitative discipline such as Computer Science, Mathematics, Operations Research, or Data Science.
- At least 6 years of experience in applied ML/AI roles, including at least 2 years leading teams or large-scale ML initiatives.
- Advanced Python proficiency and deep experience with PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow.
- Proficiency in Java and/or Groovy for integrating ML capabilities into backend and enterprise applications.
- Familiarity with Oracle databases for feature extraction, training-data retrieval, and ML workflow integration.
- Deep expertise in computer vision and NLP, including hands-on CRNN implementation and multimodal document understanding.
- Experience with OCR, scanned-document preprocessing, TIF image handling, resolution normalization, deskewing, binarization, noise removal, and post-processing correction.
- Hands-on AWS SageMaker and Amazon Bedrock experience, including training jobs, processing pipelines, model registry, distributed training, inference endpoints, foundation models, prompt engineering, and generative AI document processing.
- Experience deploying and scaling containerized ML microservices on AWS EKS using Docker and Kubernetes, including GPU inference optimization.
- Knowledge of MLOps tools and practices such as MLflow and SageMaker Pipelines.
- Strong leadership and communication skills.
- Healthcare industry expertise is preferred.
- Applied ML/AI experience in document processing, computer vision, or NLP is preferred.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash or forfeitable equity.
- Comprehensive healthcare coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support and financial coaching.
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.