JPMorgan Chase is looking to solve business objectives by designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner.
Requirements
- Proficient hands-on coding experience in Java and Python, with experience in leveraging available libraries, such as Tensorflow, Keras, Pytorch, or Scikit-learn to dedicated projects
- Experience in Artificial Intelligence (AI) Model development such as Generative AI (GenAI) and large language models (LLM)
- Demonstrated knowledge of software applications and technical processes within a technical discipline artificial intelligence (AI) and machine learning (ML)
- Strong experience in natural language processing (NLP) and its applications
- Proficient knowledge of cloud technologies such as Azure
- Overall knowledge of the Software Development Life Cycle and solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated experience in working on Spark, Hive, and SQL
Responsibilities
- Designs, develops, deploys, and manages AI/ML models using advanced techniques, LLMs, and Agentic AI for compliance and risk management solutions.
- Conducts research on AI techniques to enhance model performance
- Designs, builds, tests, and deploys automation scripts, monitoring tools, and machine learning models to support IT operations; ensures solutions are scalable, maintainable, and aligned with business requirements
- Implements and refines algorithms for anomaly detection, predictive incident analysis, and automated remediation while integrating these solutions with existing monitoring and alerting platforms to reduce manual intervention and improve response times
- Integrates AIOps solutions with IT service management (ITSM) tools, CI/CD pipelines, and cloud infrastructure; automates repetitive operational tasks such as health checks, resource provisioning, and incident triage
- Collect, clean, and process operational data from diverse sources such as logs, metrics, events, and traces
- Develops and maintains tools and frameworks for model training, evaluation, and optimization
Other
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Works closely with SREs, infrastructure, application, and support teams to understand operational pain points and requirements
- Participates in code reviews, contributes to best practices, and help optimize existing AIOps workflows; monitors solution performance and iterate based on feedback and operational metrics
- Creates and maintains clear documentation for developed solutions, processes, and troubleshooting guides and trains team members and stakeholders on AIOps tools and practices
- Ensures all automation and data handling practices comply with organizational security policies and regulatory requirements; collaborates with security teams to address vulnerabilities and maintain data integrity
