We have an exciting and rewarding opportunity for you to take your ML engineering leadership career to the next level. We are building a next generation, AI-driven Global Financial Crimes Strategic Monitoring solutions that detects AML risk, regulatory violations, transactions risk, misconduct, and behavioral anomalies.
As an AI ML Director at JPMorganChase within the Corporate Technology, Compliance, Conduct & Operational Risk (CCOR) organisation, you will lead the team and by example through design, build and productionize Risk typologies/ features, data pipelines, supervised and unsupervised ML models, and LLM risk explainability that operate at scale across high-volume banking transactions. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and auditability. This is a hands-on, Executive Director level role requiring deep expertise in ML operations, LLM integration, scalable ML systems and production grade engineering discipline. This role offers a chance for you 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
- Lead a group of talented ML engineers and deliver AI solutions in production
- Design, build, collaborate, and operate ML models
- Design, build and operate LLM solutions
- Design and build feedback and accuracy measurement techniques for AI solutions
- Design, build, and operate risk features data pipelines in Databricks
- 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
- Formal training or certification in Computer Science, Data Science, AI concepts and advanced applied experience
- PhD, MS or BS in Computer Science, Data Science, AI or similar fields with of experience
- Deep foundation in Information Retrieval, Natural Language Processing and
- Expert in functional programming and JVM based languages- Python, Java
- Experience integrating models into cloud scale, microservices based architectures
- Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers
- Hands-on experience with AWS services, and Databricks
- 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
- Knowledge of Databricks CDAO platform is good to have
- Experience with building production-grade ML pipelines, APIs and MLOps frameworks
- Experience in AML, monitoring and investigations 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
Skills Required
- Formal training or certification in Computer Science, Data Science, AI concepts, or a related field
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, AI, or a similar field
- Deep knowledge of information retrieval and natural language processing
- Expertise in functional programming and JVM-based languages, including Python and Java
- Experience integrating ML models into cloud-scale, microservices-based architectures
- Experience with one or more ML frameworks, including PyTorch, TensorFlow, scikit-learn, NeMo, or Hugging Face Transformers
- Hands-on experience with AWS services and Databricks
- Experience with SQL, NoSQL, and messaging stacks
- Excellent verbal and written communication skills
- Operational experience supporting an enterprise-grade ML application in production
- Knowledge of the Databricks CDAO platform
- Experience building production-grade ML pipelines, APIs, and MLOps frameworks
- Experience with AML, monitoring, and investigations systems
- Understanding of data engineering concepts, distributed systems, and scalable architectures
- Familiarity with vector databases, model serving, and inference optimization
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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