Real job — pulled straight from JPMorgan Chase’s careers page · Verified September 25, 2026 · No reposts.
Job description
JPMorgan Chase is hiring a Applied AI/ML Lead — a full-time, based in Bengaluru, Karnataka role. Apply directly on JPMorgan Chase's careers page below.
Applied AI ML Lead
Location: Bengaluru, Karnataka, India
We have an exciting and rewarding opportunity 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 Senior MLE on the team, you will 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 Compliance SMEs to continuously improve product adoption, reliability and outcomes
Required qualifications, capabilities, and skills
- 8+ years experience in cloud based applications with 4+ years of experience as an MLE
- Strong foundation in Information Retrieval, Natural Language Processing and
- Expert in functional programming and JVM based languages- Python/Kotlin, Java
- Experience integrating models into cloud scale, microservices based architectures
- Hands-on Databricks experience is required and must include development of production workloads using Spark, Delta Lake, and Databricks Workflows.
- Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers
- Hands-on experience with AWS services such as SageMaker, ECS, Lambda functions, Bedrock
- Experience/Exposure to SQL, NoSQL and messaging stacks
- Excellent verbal & written communication skills and bias for action and ownership in early stage env
- Operational experience in supporting an enterprise grade ML application in production
Preferred qualifications, capabilities, and skills
- Experience with building production-grade ML pipelines, APIs amd MLOps frameworks such MLflow, Kubeflow
- Experience in surveillance, fraud detection, fintech or risk systems is a strong plus
- Good understanding of data engineering concepts, distributed systems, and scalable architectures
- Familiarity with vector databases, model serving, and inference optimization is a plus
About Us
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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Organization
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.As an Applied AI ML Engineer on Surveillance you would be working at the cross section of ML, Cloud and Compliance.Get Applied AI/ML Lead jobs like this→
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Frequently asked questions
What skills are required for Applied AI/ML Lead at JPMorgan Chase?
The required skills for Applied AI/ML Lead at JPMorgan Chase include: Python, Kotlin, Java, Spark, Databricks, PyTorch, TensorFlow, Lambda, SQL, NoSQL, Kafka, MLflow, RAG, LLM, NLP, Microservices, CI/CD, Agile.
What is the seniority level for Applied AI/ML Lead at JPMorgan Chase?
Applied AI/ML Lead at JPMorgan Chase is a Senior / Lead level position.
How do I apply for Applied AI/ML Lead at JPMorgan Chase?
You can view the full description and apply for Applied AI/ML Lead at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-applied-ai-ml-lead-r8kb9.