JPMorgan Chase is a global leader in financial services, providing solutions to millions of customers, small businesses, and many of the world's most prominent corporate, institutional, and government clients. We are committed to leveraging cutting-edge technology, including artificial intelligence, to drive innovation and enhance customer experiences.
We are seeking a highly skilled and experienced, AI Analytics Solutions Manager within JPMorgan Chase in Cybersecurity Technology & Controls. You will contribute to our AI development efforts. The ideal candidate will have a strong background in (AI) artificial intelligence, (ML) machine learning, and data science, with a proven track record of leveraging popular AI products and services to deliver impactful solutions. This role requires a strategic thinker with the ability to drive AI initiatives that are innovative and align to our Technology Risk and Resiliency Goals.
Job Responsibilities:
- Hands on coding to bring the experimental results into production solutions by collaborating with engineering team.
- Owning end to end code development for both proof of concept/experimentation and production-ready solutions.
- Contribute to the development and implementation of AI strategies that align with JPMorgan Chase's objectives and drive innovation.
- Design, develop, and deploy AI models and solutions.
- Collaborate with cross-functional teams to integrate AI technologies into existing products and services.
- Ensure the scalability, performance, and security of AI solutions.
- Implement technology risk controls to safeguard AI systems and data integrity.
- Develop and maintain business continuity plans to ensure the resilience and availability of AI services.
- Foster a culture of continuous learning and improvement.
Required qualifications, capabilities, and skills:
- Obtain 6+ years of experience in AI/ML development and application knowledge with a Bachelors Degree in Computer Science, Data Science, Artificial Intelligence, Computer Science, Engineering, or similar STEM discipline.
- Strong understanding of GenAI and LLM technologies and their applications.
- Experience with AI/ML frameworks and libraries.
- Proven experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with cloud-based AI services such as AWS SageMaker, Google AI Platform, or Microsoft Azure AI.
- Proficiency in programming languages such as Python or R for AI/ML model development/deployment.
- Ability to translate complex technical concepts into clear documentation and presentations.
- Strong problem-solving skills and a creative approach to AI/ML application.
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
- Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
Preferred qualifications, capabilities, and skills:
- Experience with natural language processing (NLP) and computer vision technologies.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Experience in deploying AI models in production environments.
- Experience in implementing technology risk controls and business continuity planning.
#CTC