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Applied AI ML Lead

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Lead

full-timePosted: Dec 9, 2025

Job Description

Applied AI ML Lead

Location: Bengaluru, Karnataka, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging applied AI and machine learning to revolutionize financial services, delivering innovative solutions that empower millions of customers worldwide. As an Applied AI ML Lead in our Predictive Science team based in Bengaluru, Karnataka, India, you will spearhead transformative initiatives that enhance customer products, from personalized wealth management tools to advanced fraud detection systems. This role offers the opportunity to make a substantial impact by leading cutting-edge AI projects that drive business growth and operational excellence in a dynamic, global banking environment. You will collaborate with top-tier talent to tackle complex challenges in predictive analytics, ensuring our AI models are robust, scalable, and compliant with stringent financial regulations. In this leadership position, you will guide a team of skilled data scientists and engineers in developing and deploying state-of-the-art ML models tailored to the financial sector's unique demands, such as real-time risk assessment and customer behavior prediction. Your expertise will be pivotal in integrating AI into core products, optimizing algorithms for high-volume transaction data, and innovating with technologies like neural networks and reinforcement learning. At JP Morgan Chase, you will have access to vast datasets and world-class resources, enabling you to push the boundaries of what's possible in applied AI while adhering to ethical standards and regulatory frameworks like those from the RBI and global bodies. Joining our Bengaluru team means becoming part of a vibrant tech hub that fosters innovation and professional growth within one of the world's leading financial institutions. You will contribute to a culture of inclusion and collaboration, working on projects that directly influence customer trust and satisfaction. With opportunities for advancement, continuous learning, and a commitment to work-life balance, this role positions you to shape the future of AI in finance at JP Morgan Chase.

Key Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to enhance customer products in areas like personalized banking and fraud prevention
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to align AI initiatives with JP Morgan Chase's strategic goals
  • Mentor and guide a team of AI/ML engineers, fostering innovation and best practices in predictive analytics
  • Conduct research and experimentation on emerging AI technologies to drive transformative solutions in financial services
  • Ensure model robustness, interpretability, and compliance with regulatory standards in risk management and customer data handling
  • Optimize ML pipelines for scalability and efficiency using cloud infrastructure tailored to high-volume financial transactions
  • Analyze complex datasets from banking operations to derive actionable insights for product improvements
  • Present AI/ML project outcomes to senior leadership, demonstrating business impact on customer experience and operational efficiency
  • Stay abreast of industry trends in applied AI for finance and integrate relevant advancements into JP Morgan's ecosystem
  • Oversee ethical AI practices, mitigating biases in models affecting diverse customer segments

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • 8+ years of experience in applied AI/ML, with at least 3 years in a leadership role
  • Proven track record of developing and deploying machine learning models in production environments, preferably in financial services
  • Strong proficiency in Python, R, or Java for ML model development and data processing
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for scalable AI solutions
  • Deep knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Excellent problem-solving skills and ability to lead cross-functional teams in a fast-paced environment

Preferred Qualifications

  • PhD in a relevant field with focus on AI/ML applications in finance
  • Experience in regulatory compliance for AI models in banking (e.g., GDPR, Basel III)
  • Prior work at a major financial institution on fraud detection or risk modeling
  • Certification in AI/ML from recognized bodies like Coursera or AWS
  • Publication record in AI/ML conferences or journals related to financial applications

Required Skills

  • Machine Learning Algorithms (e.g., supervised/unsupervised learning, deep learning)
  • Python Programming and Data Manipulation (Pandas, NumPy)
  • TensorFlow or PyTorch for Model Building
  • Big Data Technologies (Hadoop, Spark for financial datasets)
  • Cloud Computing (AWS SageMaker, Azure ML)
  • Statistical Analysis and Predictive Modeling
  • Natural Language Processing for customer sentiment analysis
  • Time Series Forecasting for market and risk predictions
  • Leadership and Team Management
  • Stakeholder Communication and Presentation Skills
  • Problem-Solving in High-Stakes Financial Environments
  • Knowledge of Financial Regulations and Data Privacy
  • Version Control (Git) and CI/CD Pipelines
  • SQL for Database Querying in Banking Systems
  • Ethical AI and Bias Mitigation Techniques

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and families
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave policies
  • Professional development opportunities, such as tuition reimbursement and access to internal AI/ML training programs
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Employee wellness programs, including gym memberships and mental health support
  • Stock purchase plans and other financial perks tailored to JP Morgan Chase associates

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 85,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Algorithms (e.g., supervised/unsupervised learning, deep learning)intermediate
  • Python Programming and Data Manipulation (Pandas, NumPy)intermediate
  • TensorFlow or PyTorch for Model Buildingintermediate
  • Big Data Technologies (Hadoop, Spark for financial datasets)intermediate
  • Cloud Computing (AWS SageMaker, Azure ML)intermediate
  • Statistical Analysis and Predictive Modelingintermediate
  • Natural Language Processing for customer sentiment analysisintermediate
  • Time Series Forecasting for market and risk predictionsintermediate
  • Leadership and Team Managementintermediate
  • Stakeholder Communication and Presentation Skillsintermediate
  • Problem-Solving in High-Stakes Financial Environmentsintermediate
  • Knowledge of Financial Regulations and Data Privacyintermediate
  • Version Control (Git) and CI/CD Pipelinesintermediate
  • SQL for Database Querying in Banking Systemsintermediate
  • Ethical AI and Bias Mitigation Techniquesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field (experience)
  • 8+ years of experience in applied AI/ML, with at least 3 years in a leadership role (experience)
  • Proven track record of developing and deploying machine learning models in production environments, preferably in financial services (experience)
  • Strong proficiency in Python, R, or Java for ML model development and data processing (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for scalable AI solutions (experience)
  • Deep knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn (experience)
  • Excellent problem-solving skills and ability to lead cross-functional teams in a fast-paced environment (experience)

Preferred Qualifications

  • PhD in a relevant field with focus on AI/ML applications in finance (experience)
  • Experience in regulatory compliance for AI models in banking (e.g., GDPR, Basel III) (experience)
  • Prior work at a major financial institution on fraud detection or risk modeling (experience)
  • Certification in AI/ML from recognized bodies like Coursera or AWS (experience)
  • Publication record in AI/ML conferences or journals related to financial applications (experience)

Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to enhance customer products in areas like personalized banking and fraud prevention
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to align AI initiatives with JP Morgan Chase's strategic goals
  • Mentor and guide a team of AI/ML engineers, fostering innovation and best practices in predictive analytics
  • Conduct research and experimentation on emerging AI technologies to drive transformative solutions in financial services
  • Ensure model robustness, interpretability, and compliance with regulatory standards in risk management and customer data handling
  • Optimize ML pipelines for scalability and efficiency using cloud infrastructure tailored to high-volume financial transactions
  • Analyze complex datasets from banking operations to derive actionable insights for product improvements
  • Present AI/ML project outcomes to senior leadership, demonstrating business impact on customer experience and operational efficiency
  • Stay abreast of industry trends in applied AI for finance and integrate relevant advancements into JP Morgan's ecosystem
  • Oversee ethical AI practices, mitigating biases in models affecting diverse customer segments

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and families
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities, such as tuition reimbursement and access to internal AI/ML training programs
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Employee wellness programs, including gym memberships and mental health support
  • general: Stock purchase plans and other financial perks tailored to JP Morgan Chase associates

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JP Morgan Chase logo

Applied AI ML Lead

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Lead

full-timePosted: Dec 9, 2025

Job Description

Applied AI ML Lead

Location: Bengaluru, Karnataka, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging applied AI and machine learning to revolutionize financial services, delivering innovative solutions that empower millions of customers worldwide. As an Applied AI ML Lead in our Predictive Science team based in Bengaluru, Karnataka, India, you will spearhead transformative initiatives that enhance customer products, from personalized wealth management tools to advanced fraud detection systems. This role offers the opportunity to make a substantial impact by leading cutting-edge AI projects that drive business growth and operational excellence in a dynamic, global banking environment. You will collaborate with top-tier talent to tackle complex challenges in predictive analytics, ensuring our AI models are robust, scalable, and compliant with stringent financial regulations. In this leadership position, you will guide a team of skilled data scientists and engineers in developing and deploying state-of-the-art ML models tailored to the financial sector's unique demands, such as real-time risk assessment and customer behavior prediction. Your expertise will be pivotal in integrating AI into core products, optimizing algorithms for high-volume transaction data, and innovating with technologies like neural networks and reinforcement learning. At JP Morgan Chase, you will have access to vast datasets and world-class resources, enabling you to push the boundaries of what's possible in applied AI while adhering to ethical standards and regulatory frameworks like those from the RBI and global bodies. Joining our Bengaluru team means becoming part of a vibrant tech hub that fosters innovation and professional growth within one of the world's leading financial institutions. You will contribute to a culture of inclusion and collaboration, working on projects that directly influence customer trust and satisfaction. With opportunities for advancement, continuous learning, and a commitment to work-life balance, this role positions you to shape the future of AI in finance at JP Morgan Chase.

Key Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to enhance customer products in areas like personalized banking and fraud prevention
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to align AI initiatives with JP Morgan Chase's strategic goals
  • Mentor and guide a team of AI/ML engineers, fostering innovation and best practices in predictive analytics
  • Conduct research and experimentation on emerging AI technologies to drive transformative solutions in financial services
  • Ensure model robustness, interpretability, and compliance with regulatory standards in risk management and customer data handling
  • Optimize ML pipelines for scalability and efficiency using cloud infrastructure tailored to high-volume financial transactions
  • Analyze complex datasets from banking operations to derive actionable insights for product improvements
  • Present AI/ML project outcomes to senior leadership, demonstrating business impact on customer experience and operational efficiency
  • Stay abreast of industry trends in applied AI for finance and integrate relevant advancements into JP Morgan's ecosystem
  • Oversee ethical AI practices, mitigating biases in models affecting diverse customer segments

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • 8+ years of experience in applied AI/ML, with at least 3 years in a leadership role
  • Proven track record of developing and deploying machine learning models in production environments, preferably in financial services
  • Strong proficiency in Python, R, or Java for ML model development and data processing
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for scalable AI solutions
  • Deep knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Excellent problem-solving skills and ability to lead cross-functional teams in a fast-paced environment

Preferred Qualifications

  • PhD in a relevant field with focus on AI/ML applications in finance
  • Experience in regulatory compliance for AI models in banking (e.g., GDPR, Basel III)
  • Prior work at a major financial institution on fraud detection or risk modeling
  • Certification in AI/ML from recognized bodies like Coursera or AWS
  • Publication record in AI/ML conferences or journals related to financial applications

Required Skills

  • Machine Learning Algorithms (e.g., supervised/unsupervised learning, deep learning)
  • Python Programming and Data Manipulation (Pandas, NumPy)
  • TensorFlow or PyTorch for Model Building
  • Big Data Technologies (Hadoop, Spark for financial datasets)
  • Cloud Computing (AWS SageMaker, Azure ML)
  • Statistical Analysis and Predictive Modeling
  • Natural Language Processing for customer sentiment analysis
  • Time Series Forecasting for market and risk predictions
  • Leadership and Team Management
  • Stakeholder Communication and Presentation Skills
  • Problem-Solving in High-Stakes Financial Environments
  • Knowledge of Financial Regulations and Data Privacy
  • Version Control (Git) and CI/CD Pipelines
  • SQL for Database Querying in Banking Systems
  • Ethical AI and Bias Mitigation Techniques

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and families
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave policies
  • Professional development opportunities, such as tuition reimbursement and access to internal AI/ML training programs
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Employee wellness programs, including gym memberships and mental health support
  • Stock purchase plans and other financial perks tailored to JP Morgan Chase associates

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 85,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Algorithms (e.g., supervised/unsupervised learning, deep learning)intermediate
  • Python Programming and Data Manipulation (Pandas, NumPy)intermediate
  • TensorFlow or PyTorch for Model Buildingintermediate
  • Big Data Technologies (Hadoop, Spark for financial datasets)intermediate
  • Cloud Computing (AWS SageMaker, Azure ML)intermediate
  • Statistical Analysis and Predictive Modelingintermediate
  • Natural Language Processing for customer sentiment analysisintermediate
  • Time Series Forecasting for market and risk predictionsintermediate
  • Leadership and Team Managementintermediate
  • Stakeholder Communication and Presentation Skillsintermediate
  • Problem-Solving in High-Stakes Financial Environmentsintermediate
  • Knowledge of Financial Regulations and Data Privacyintermediate
  • Version Control (Git) and CI/CD Pipelinesintermediate
  • SQL for Database Querying in Banking Systemsintermediate
  • Ethical AI and Bias Mitigation Techniquesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field (experience)
  • 8+ years of experience in applied AI/ML, with at least 3 years in a leadership role (experience)
  • Proven track record of developing and deploying machine learning models in production environments, preferably in financial services (experience)
  • Strong proficiency in Python, R, or Java for ML model development and data processing (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for scalable AI solutions (experience)
  • Deep knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn (experience)
  • Excellent problem-solving skills and ability to lead cross-functional teams in a fast-paced environment (experience)

Preferred Qualifications

  • PhD in a relevant field with focus on AI/ML applications in finance (experience)
  • Experience in regulatory compliance for AI models in banking (e.g., GDPR, Basel III) (experience)
  • Prior work at a major financial institution on fraud detection or risk modeling (experience)
  • Certification in AI/ML from recognized bodies like Coursera or AWS (experience)
  • Publication record in AI/ML conferences or journals related to financial applications (experience)

Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to enhance customer products in areas like personalized banking and fraud prevention
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to align AI initiatives with JP Morgan Chase's strategic goals
  • Mentor and guide a team of AI/ML engineers, fostering innovation and best practices in predictive analytics
  • Conduct research and experimentation on emerging AI technologies to drive transformative solutions in financial services
  • Ensure model robustness, interpretability, and compliance with regulatory standards in risk management and customer data handling
  • Optimize ML pipelines for scalability and efficiency using cloud infrastructure tailored to high-volume financial transactions
  • Analyze complex datasets from banking operations to derive actionable insights for product improvements
  • Present AI/ML project outcomes to senior leadership, demonstrating business impact on customer experience and operational efficiency
  • Stay abreast of industry trends in applied AI for finance and integrate relevant advancements into JP Morgan's ecosystem
  • Oversee ethical AI practices, mitigating biases in models affecting diverse customer segments

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and families
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities, such as tuition reimbursement and access to internal AI/ML training programs
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Employee wellness programs, including gym memberships and mental health support
  • general: Stock purchase plans and other financial perks tailored to JP Morgan Chase associates

Target Your Resume for "Applied AI ML Lead" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Applied AI ML Lead. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Applied AI ML Lead" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for Applied AI ML Lead @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.