Applied AIML Vice President
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Job Location:
Wilmington, DE - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
This is a unique opportunity to apply your skills and leadership in a dynamic environment directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology shaping the next generation of intelligent products and services at JPMorgan Chase.
As Applied AI ML Lead at Consumer & Community Banking Tech you will drive ML and GenAI projects leveraging expertise to deliver innovative solutions.
Job responsibilities
- Work with product managers data scientists ML engineers and other stakeholders to understand requirements.
- Design develop and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives.
- Architect and implement robust cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS Azure GCP) for scalable efficient deployment and monitoring of models in production.
- Direct the development and deployment of advanced generative AI solutions (LLMs RAG NLP AI Agents) and classical ML models integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
- Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
- Develop and maintain automated pipelines for model deployment ensuring scalability reliability and efficiency.
- Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
- Communicate AI/ML capabilities and results to both technical and non-technical audiences.
- Build AI Agents and chatbot
- Stay informed about the latest trends and advancements in the latest AI/ML research implement cutting-edge techniques and leverage external APIs for enhanced functionality.
Required qualifications capabilities and skills
- Bachelors degree or MS or PhD in quantitative discipline e.g. Computer Science Mathematics Operations Research Data Science.
- 5 years of experience in Machine Learning and Artificial Intelligence engineering.
- Experience in applied AI/ML engineering with a track record of developing and deploying business critical machine learning models in production.
- Proficiency in programming languages like Python for model development experimentation and integration with OpenAI API.
- Extensive hands-on technical experience with machine learning frameworks libraries and APIs such as TensorFlow PyTorch Scikit-learn AWS Bedrock Transformers LangChain/LngGraph.
- Experience with cloud computing platforms (e.g. AWS Azure or Google Cloud Platform) containerization technologies (e.g. Docker and Kubernetes) orchestration tools (Airflow FastAPI etc.) and architectural design implementation and performance optimization.
- Solid understanding of fundamentals of statistics machine learning (e.g. classification regression deep learning reinforcement learning) and generative model architectures.
- Expert in Large Language models (OpenAI Anthropic Mistral etc) including fine-tuning models prompt engineering embeddings and context window.
- Strong collaboration skills to work effectively with cross-functional teams communicate complex concepts and contribute to interdisciplinary projects.
Preferred qualifications capabilities and skills
- Familiarity with the financial services industries.
- Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
- Hands-on knowledge of Chain-of-Thoughts Tree-of-Thoughts Graph-of-Thoughts prompting strategies.
- Familiarity with ethical AI including bias mitigation explainability and escalation protocols for risky outputs.
Required Experience:
Exec
Key Skills
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
