Applied Artificial Intelligence & Machine Learning- Markets Operations - Vice President

Reposted 14 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Expert/Leader
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead design and delivery of production-scale AI/ML solutions for Market Operations. Manage and mentor a team of data scientists and engineers, partner with stakeholders and AI engineering to build scalable architectures, ensure production-grade code and MLOps practices, establish model evaluation/monitoring/governance, and drive execution and documentation to deliver measurable business impact.
Summary Generated by Built In

As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning.

Job responsibilities

  • Developing and Delivering AI Solutions: Lead the development, implementation and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.
  • Partner with Engineering to Enable Scalable AI/ML Architecture & Deployment : Partner with AI Engineering teams to ensure architecture design and deployment patterns are robust for AI/ML models and aligns with business needs
  • Team Management & Mentorship following Agile Practices : Lead and mentor a team of AI/ML data scientists, guiding iterative experimentation and tracking progress to deliver measurable outcomes in an agile manner
  • Maintaining Code Practices: Ensure production-grade AI/ML applications and tools are built, maintained, and optimized 
  • Model Evaluation and Monitoring : Establish best practices for designing robust architectures, evaluation, monitoring, governance and deployment
  • Drive Model Methodology Documentation : Champion documentation of methodologies, results, and best practices for knowledge sharing
  • Execution Excellence: Achieves design/ delivery alignment across partnering teams that ensures execution velocity. Champions in driving clarity and prioritizing pre-requisites for AIML development
  • Engaging with Stakeholders and collaborate cross-functionally: Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Work closely with Operations, Technology and Transformation teams to address and solve complex problems, leveraging AI/ML.

Required qualifications

  • MSc/PhD in Computer Science, Data Science, Machine Learning, or related field.
  • Significant proven experience building and deploying AI applications in large scale production environments. Experience with MLOps practices and tools for managing the machine learning lifecycle.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
  • Strong understanding of data preprocessing, feature engineering, and evaluation techniques and experience working with large, complex datasets and applying statistical analysis
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Experience managing data science teams and couching team members
  • Problem-solving skills and ability to work independently and as a leader within cross-functional teams
  • Strong communication skills for both technical and non-technical audiences.

Preferred qualifications

  • Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.
  • Hands-on experience with agentic frameworks (LangChain, LangGraph).
  • Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.
  • Demonstrated experience in financial services, particularly investment banking operations.

Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world’s leading financial institutions.

 #CIBAppliedAI


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 TeamJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

Skills Required

  • MSc/PhD in Computer Science, Data Science, Machine Learning, or related field
  • Proven experience building and deploying AI applications in large-scale production environments
  • Experience with MLOps practices and tools for managing the machine learning lifecycle
  • Proficiency in Python
  • Proficiency with ML frameworks: PyTorch, TensorFlow, scikit-learn
  • Strong understanding of data preprocessing, feature engineering, evaluation techniques, and statistical analysis on large datasets
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Familiarity with containerization (Docker, Kubernetes)
  • Experience managing and mentoring data science teams
  • Strong problem-solving skills and ability to lead cross-functional teams
  • Strong communication skills for both technical and non-technical audiences
  • Familiarity with prompt optimization frameworks (AutoPrompt, DSPy)
  • Hands-on experience with agentic frameworks (LangChain, LangGraph)
  • Hands-on experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration
  • Experience in financial services, particularly investment banking operations

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.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

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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