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JPMorganChase

Applied AI ML Associate Sr

Posted 7 Days Ago
Be an Early Applicant
Hybrid
Bengaluru, Karnataka
Mid level
Hybrid
Bengaluru, Karnataka
Mid level
The Applied AI ML Associate Sr role involves designing and delivering software solutions, developing algorithms for data analysis, and enhancing systems through machine learning. The position requires overseeing data analysis, coding, and ensuring quality in production systems.
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
  • Communicate complex issues clearly and credibly to senior management and stakeholders
  • Oversee the analysis of complex datasets to inform decisions on real-world applications.
  • Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
  • Supervise data analysis activities and ensure effective visualizations are provided.
  • Ensure the writing and deployment of software code in production systems is efficient and meets standards.


Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more languages
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Master's degree in computer Science, Machine Learning or related field with 3 years of relevant experience Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience.
  • Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps.
  • Solid understanding of core CS concepts, including common data structures and algorithms.


Preferred qualifications, capabilities, and skills

  • Experienced in conducting design and code reviews.
  • Proficient in cloud environments such as AWS, GCP, or Azure.
  • Experienced in managing and deriving insights from large, both unstructured and structured datasets.


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 Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Top Skills

Machine Learning

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