Description
We have an exciting and rewarding prospect for you to take your software engineering career to the next level. We are building a next generation, AI-driven Surveillance platform that detects regulatory violations, insider risk, misconduct, and behavioral anomalies across enterprise communications and collaboration systems.
As a Applied AI ML Lead within Corporate Technology team, you will be responsible to design, build and productionize ML and LLM powered detection systems that operate at scale across high-volume communication streams. You will work at the intersection of Risk modeling, NLP and transformer architectures, near real-time inference systems, regulatory explainability and auditability. This is a hands-on senior role requiring deep expertise in applied NLP, LLM integration, scalable ML systems and production grade engineering discipline. This role offers a chance to collaborate with product managers, architects, data science and operational teams, while also engaging in software engineering communities to explore new and emerging technologies.





Job responsibilities
- Design LLM powered features such as risk detection, alert explanation, conversation summarization, reviewer assisted co-pilots
- Implement explainability techniques (SHAP, LIME, attention visualization) ensuring model outputs are traceable, versioned and reproducible
- Optimize inference latency and token efficiency for production environments
- Implement RAG and LLM based risk analysis pipelines processing data at web scale
- Bake in augmentation mechanisms leveraging legacy regular expressions for filtering and optimization
- Design real-time and batch processing and scoring pipelines (kafka/spark)
- Implement experiment tracking, model versioning and CI/CD for ML
- Conduct monitoring to detect and alert drift, bias and performance degradation
- Work closely within a cross-functional team following agile based processes
- Collaborate closely with Product Managers, SRE and Co

📌 Applied AI ML Lead (Bengaluru)
🏢 JPMorganChase
📍 Bengaluru