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Software Engineer III - AI/ML

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - AI/ML

full-timePosted: Dec 1, 2025

Job Description

Software Engineer III - AI/ML

Location: Bengaluru, Karnataka, India

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of innovation in the financial services industry, leveraging cutting-edge AI and machine learning to drive transformative solutions for our global clients. As a Software Engineer III - AI/ML in our Bengaluru technology center, you will join a dynamic agile team dedicated to designing and delivering market-leading technology products that are both secure and scalable. Your role will involve building intelligent systems that power everything from real-time fraud detection to predictive market analytics, ensuring our banking platforms remain resilient in a rapidly evolving digital landscape. With a focus on the financial domain, you will tackle complex challenges like optimizing algorithmic trading models and enhancing customer personalization while adhering to stringent regulatory standards. In this position, you will collaborate closely with data scientists, product managers, and domain experts to translate business needs into robust AI/ML solutions. You will architect end-to-end machine learning pipelines, from data ingestion and feature engineering to model training and deployment, using state-of-the-art tools tailored to high-stakes financial applications. Your contributions will directly impact JP Morgan's ability to provide secure, efficient services to millions of customers worldwide, fostering innovation in areas like risk management and sustainable finance. Expect to engage in iterative development cycles, where your expertise in scalable architectures ensures seamless integration with our core banking infrastructure. We value engineers who thrive in collaborative environments and are passionate about ethical AI practices. As part of JP Morgan Chase's commitment to diversity and inclusion, you will have opportunities to grow your career through mentorship, global projects, and access to world-class resources. Join us in Bengaluru to shape the future of finance through technology, contributing to a legacy of excellence that spans over 200 years.

Key Responsibilities

  • Design, develop, and deploy AI/ML models to enhance financial products such as predictive analytics for market trends and risk assessment
  • Collaborate with agile teams to integrate machine learning solutions into scalable, secure banking platforms
  • Optimize algorithms for performance in high-volume transaction processing environments
  • Conduct code reviews, ensure adherence to security protocols, and maintain compliance with financial regulations
  • Analyze large datasets from trading, lending, and customer interactions to derive actionable insights
  • Prototype and iterate on AI-driven features to improve fraud detection and personalized client services
  • Mentor junior engineers on best practices in AI/ML development within the financial sector
  • Monitor and troubleshoot production ML systems to ensure reliability and uptime
  • Stay updated on emerging AI technologies and evaluate their applicability to JP Morgan's business challenges
  • Document technical specifications and contribute to knowledge sharing across global teams

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies
  • Proven track record of developing and deploying machine learning models in production environments
  • Strong understanding of financial services domain, including risk management, fraud detection, or algorithmic trading
  • Experience with agile methodologies and collaborative development in cross-functional teams
  • Proficiency in secure coding practices and compliance with regulatory standards like GDPR and SOX
  • Ability to work in a fast-paced, high-stakes environment handling sensitive financial data

Preferred Qualifications

  • Experience with large-scale data processing in financial datasets using tools like Hadoop or Spark
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure
  • Advanced knowledge of deep learning frameworks and natural language processing for financial applications
  • Previous contributions to open-source AI/ML projects or publications in relevant conferences
  • Certification in AI/ML from recognized institutions like Coursera or AWS

Required Skills

  • Python, Java, or Scala for AI/ML development
  • Machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Data processing tools such as Apache Spark, Kafka, or Hadoop
  • Cloud computing platforms including AWS, GCP, or Azure
  • SQL and NoSQL databases for handling financial data
  • Version control with Git and CI/CD pipelines
  • Knowledge of financial algorithms, time-series analysis, and quantitative modeling
  • Secure coding and vulnerability assessment
  • Agile/Scrum methodologies
  • Problem-solving and analytical thinking
  • Communication and collaboration in team settings
  • Adaptability to regulatory changes in finance
  • Experience with model deployment using Docker and Kubernetes
  • Statistical analysis and data visualization tools like Tableau
  • Ethical AI practices and bias mitigation

Benefits

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

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Python, Java, or Scala for AI/ML developmentintermediate
  • Machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Data processing tools such as Apache Spark, Kafka, or Hadoopintermediate
  • Cloud computing platforms including AWS, GCP, or Azureintermediate
  • SQL and NoSQL databases for handling financial dataintermediate
  • Version control with Git and CI/CD pipelinesintermediate
  • Knowledge of financial algorithms, time-series analysis, and quantitative modelingintermediate
  • Secure coding and vulnerability assessmentintermediate
  • Agile/Scrum methodologiesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and collaboration in team settingsintermediate
  • Adaptability to regulatory changes in financeintermediate
  • Experience with model deployment using Docker and Kubernetesintermediate
  • Statistical analysis and data visualization tools like Tableauintermediate
  • Ethical AI practices and bias mitigationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies (experience)
  • Proven track record of developing and deploying machine learning models in production environments (experience)
  • Strong understanding of financial services domain, including risk management, fraud detection, or algorithmic trading (experience)
  • Experience with agile methodologies and collaborative development in cross-functional teams (experience)
  • Proficiency in secure coding practices and compliance with regulatory standards like GDPR and SOX (experience)
  • Ability to work in a fast-paced, high-stakes environment handling sensitive financial data (experience)

Preferred Qualifications

  • Experience with large-scale data processing in financial datasets using tools like Hadoop or Spark (experience)
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure (experience)
  • Advanced knowledge of deep learning frameworks and natural language processing for financial applications (experience)
  • Previous contributions to open-source AI/ML projects or publications in relevant conferences (experience)
  • Certification in AI/ML from recognized institutions like Coursera or AWS (experience)

Responsibilities

  • Design, develop, and deploy AI/ML models to enhance financial products such as predictive analytics for market trends and risk assessment
  • Collaborate with agile teams to integrate machine learning solutions into scalable, secure banking platforms
  • Optimize algorithms for performance in high-volume transaction processing environments
  • Conduct code reviews, ensure adherence to security protocols, and maintain compliance with financial regulations
  • Analyze large datasets from trading, lending, and customer interactions to derive actionable insights
  • Prototype and iterate on AI-driven features to improve fraud detection and personalized client services
  • Mentor junior engineers on best practices in AI/ML development within the financial sector
  • Monitor and troubleshoot production ML systems to ensure reliability and uptime
  • Stay updated on emerging AI technologies and evaluate their applicability to JP Morgan's business challenges
  • Document technical specifications and contribute to knowledge sharing across global teams

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 dependents
  • 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 through JP Morgan's internal training and tuition reimbursement
  • general: Employee wellness programs, including gym memberships and mental health support
  • general: Flexible work arrangements with hybrid options in Bengaluru
  • general: Stock purchase plan and other financial perks tailored to the banking sector

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JP Morgan Chase logo

Software Engineer III - AI/ML

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - AI/ML

full-timePosted: Dec 1, 2025

Job Description

Software Engineer III - AI/ML

Location: Bengaluru, Karnataka, India

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of innovation in the financial services industry, leveraging cutting-edge AI and machine learning to drive transformative solutions for our global clients. As a Software Engineer III - AI/ML in our Bengaluru technology center, you will join a dynamic agile team dedicated to designing and delivering market-leading technology products that are both secure and scalable. Your role will involve building intelligent systems that power everything from real-time fraud detection to predictive market analytics, ensuring our banking platforms remain resilient in a rapidly evolving digital landscape. With a focus on the financial domain, you will tackle complex challenges like optimizing algorithmic trading models and enhancing customer personalization while adhering to stringent regulatory standards. In this position, you will collaborate closely with data scientists, product managers, and domain experts to translate business needs into robust AI/ML solutions. You will architect end-to-end machine learning pipelines, from data ingestion and feature engineering to model training and deployment, using state-of-the-art tools tailored to high-stakes financial applications. Your contributions will directly impact JP Morgan's ability to provide secure, efficient services to millions of customers worldwide, fostering innovation in areas like risk management and sustainable finance. Expect to engage in iterative development cycles, where your expertise in scalable architectures ensures seamless integration with our core banking infrastructure. We value engineers who thrive in collaborative environments and are passionate about ethical AI practices. As part of JP Morgan Chase's commitment to diversity and inclusion, you will have opportunities to grow your career through mentorship, global projects, and access to world-class resources. Join us in Bengaluru to shape the future of finance through technology, contributing to a legacy of excellence that spans over 200 years.

Key Responsibilities

  • Design, develop, and deploy AI/ML models to enhance financial products such as predictive analytics for market trends and risk assessment
  • Collaborate with agile teams to integrate machine learning solutions into scalable, secure banking platforms
  • Optimize algorithms for performance in high-volume transaction processing environments
  • Conduct code reviews, ensure adherence to security protocols, and maintain compliance with financial regulations
  • Analyze large datasets from trading, lending, and customer interactions to derive actionable insights
  • Prototype and iterate on AI-driven features to improve fraud detection and personalized client services
  • Mentor junior engineers on best practices in AI/ML development within the financial sector
  • Monitor and troubleshoot production ML systems to ensure reliability and uptime
  • Stay updated on emerging AI technologies and evaluate their applicability to JP Morgan's business challenges
  • Document technical specifications and contribute to knowledge sharing across global teams

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies
  • Proven track record of developing and deploying machine learning models in production environments
  • Strong understanding of financial services domain, including risk management, fraud detection, or algorithmic trading
  • Experience with agile methodologies and collaborative development in cross-functional teams
  • Proficiency in secure coding practices and compliance with regulatory standards like GDPR and SOX
  • Ability to work in a fast-paced, high-stakes environment handling sensitive financial data

Preferred Qualifications

  • Experience with large-scale data processing in financial datasets using tools like Hadoop or Spark
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure
  • Advanced knowledge of deep learning frameworks and natural language processing for financial applications
  • Previous contributions to open-source AI/ML projects or publications in relevant conferences
  • Certification in AI/ML from recognized institutions like Coursera or AWS

Required Skills

  • Python, Java, or Scala for AI/ML development
  • Machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Data processing tools such as Apache Spark, Kafka, or Hadoop
  • Cloud computing platforms including AWS, GCP, or Azure
  • SQL and NoSQL databases for handling financial data
  • Version control with Git and CI/CD pipelines
  • Knowledge of financial algorithms, time-series analysis, and quantitative modeling
  • Secure coding and vulnerability assessment
  • Agile/Scrum methodologies
  • Problem-solving and analytical thinking
  • Communication and collaboration in team settings
  • Adaptability to regulatory changes in finance
  • Experience with model deployment using Docker and Kubernetes
  • Statistical analysis and data visualization tools like Tableau
  • Ethical AI practices and bias mitigation

Benefits

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

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Python, Java, or Scala for AI/ML developmentintermediate
  • Machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Data processing tools such as Apache Spark, Kafka, or Hadoopintermediate
  • Cloud computing platforms including AWS, GCP, or Azureintermediate
  • SQL and NoSQL databases for handling financial dataintermediate
  • Version control with Git and CI/CD pipelinesintermediate
  • Knowledge of financial algorithms, time-series analysis, and quantitative modelingintermediate
  • Secure coding and vulnerability assessmentintermediate
  • Agile/Scrum methodologiesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and collaboration in team settingsintermediate
  • Adaptability to regulatory changes in financeintermediate
  • Experience with model deployment using Docker and Kubernetesintermediate
  • Statistical analysis and data visualization tools like Tableauintermediate
  • Ethical AI practices and bias mitigationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies (experience)
  • Proven track record of developing and deploying machine learning models in production environments (experience)
  • Strong understanding of financial services domain, including risk management, fraud detection, or algorithmic trading (experience)
  • Experience with agile methodologies and collaborative development in cross-functional teams (experience)
  • Proficiency in secure coding practices and compliance with regulatory standards like GDPR and SOX (experience)
  • Ability to work in a fast-paced, high-stakes environment handling sensitive financial data (experience)

Preferred Qualifications

  • Experience with large-scale data processing in financial datasets using tools like Hadoop or Spark (experience)
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure (experience)
  • Advanced knowledge of deep learning frameworks and natural language processing for financial applications (experience)
  • Previous contributions to open-source AI/ML projects or publications in relevant conferences (experience)
  • Certification in AI/ML from recognized institutions like Coursera or AWS (experience)

Responsibilities

  • Design, develop, and deploy AI/ML models to enhance financial products such as predictive analytics for market trends and risk assessment
  • Collaborate with agile teams to integrate machine learning solutions into scalable, secure banking platforms
  • Optimize algorithms for performance in high-volume transaction processing environments
  • Conduct code reviews, ensure adherence to security protocols, and maintain compliance with financial regulations
  • Analyze large datasets from trading, lending, and customer interactions to derive actionable insights
  • Prototype and iterate on AI-driven features to improve fraud detection and personalized client services
  • Mentor junior engineers on best practices in AI/ML development within the financial sector
  • Monitor and troubleshoot production ML systems to ensure reliability and uptime
  • Stay updated on emerging AI technologies and evaluate their applicability to JP Morgan's business challenges
  • Document technical specifications and contribute to knowledge sharing across global teams

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 dependents
  • 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 through JP Morgan's internal training and tuition reimbursement
  • general: Employee wellness programs, including gym memberships and mental health support
  • general: Flexible work arrangements with hybrid options in Bengaluru
  • general: Stock purchase plan and other financial perks tailored to the banking sector

Target Your Resume for "Software Engineer III - AI/ML" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Software Engineer III - AI/ML. Takes only 15 seconds!

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

Check Your ATS Score for "Software Engineer III - AI/ML" , 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

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Software Engineer III - AI/ML @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.