Chase · 4 days ago
Vice President-Applied AI/ML Lead
Chase is a leading financial institution that offers innovative financial solutions. They are seeking a Vice President-Applied AI/ML Lead to drive the development of AI-powered document management solutions and enhance business outcomes through advanced technology.
BankingFinancial Services
Responsibilities
Lead the development and integration of AI-powered document management solutions, focusing on extracting information and insights from diverse document types
Employ advanced natural language processing, generative AI, and large language models to automate and optimize document workflows
Collaborate with business systems to ensure seamless integration and data flow
Design, implement, and deploy machine learning models and algorithms to enhance document processing and prediction capabilities
Oversee the full MLOps lifecycle, including model design, experimentation, deployment, monitoring, and maintenance in production environments
Ensure scalability, reliability, and security of AI/ML solutions
Analyze large, complex datasets to extract actionable insights and inform business decisions
Develop effective visualizations and reporting tools to communicate findings to stakeholders
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing
Work closely with cross-functional teams to translate business needs into technical solutions
Contribute to communities of practice and explore new and emerging technologies
Qualification
Required
Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience
Hands-on experience in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS)
Experience with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J)
Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, Pytorch Lightning)
Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models)
Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)
Skills in containerization and orchestration (Docker, Kubernetes, Amazon EKS)
Solid understanding of software development life cycle, agile methodologies, and data engineering
Experience deploying and maintaining AI/ML solutions in large-scale, production environments
Strong problem-solving, communication, and collaboration skills
Preferred
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
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
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