Applied AI & ML Lead – Markets Operations
JPMorgan
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This role on the market
7,972 open operations roles across 884 companies are on ApplySarthi right now, most of them in Bengaluru (241), Hyderabad (158), Mumbai (140).
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What operations roles keep asking for: Supply chain (22%), Excel (18%), Stakeholder management (15%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for operations roles keep coming back to Supply chain, Excel, Stakeholder management. Practise those questions before you sit with JPMorgan.
Questions you are likely to be asked
- Why do you want to join JPMorgan?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Applied AI & ML Lead – Markets Operations at JPMorgan interview free →Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you’ll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. 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: Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production-grade AI/ML applications and tools are built, maintained, and optimized. Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment. Champion documentation of methodologies, results, and best practices for knowledge sharing. Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites. Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills: MSc or 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 and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching 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, Capabilities, and Skills: Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands-on experience with agentic frameworks (LangChain, LangGraph). Experience 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
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Listed on oraclehcm · posted 2026-07-29. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.