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Senior Associate Artificial Intelligence / Machine Learning

AT JPMorgan Chase
JPMorgan Chase

Senior Associate Artificial Intelligence / Machine Learning

Bangalore, India

The Corporate Technology team develops applications and provide technology support for all corporate functions across network. The application will cover the complete financial spectrum and across all divisions as Compliance, Legal, Audit Trade Surveillance and Anti-Money Laundering through data science and machine learning techniques.

As an Artificial Intelligence Machine Learning Sr Associate within the Corporate Oversight and Governance Technology team, you will 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 data science and analytical solutions with a keen functional understanding of the business problem across multiple technical areas within various business functions in support of the firm's business objectives.

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Job responsibilities

  • Work as an advisor on optimal solutions and opining on challenger models.
  • Design, develop, and deploy state-of-the-art AI/ML solutions to meet business objectives.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
  • Solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk.

Required qualifications, capabilities, and skills

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3-5 years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
  • Experience with practical expertise with Machine Learning, both supervised and unsupervised.
  • Experience across broad range of modern analytic and data tools, like Python/Anaconda/R, XGBoost, Tensorflow, Keras, Spark, Hive and SQL.
  • Experience working with engineering teams to operationalize Machine Learning models.

Preferred qualifications, capabilities, and skills

  • Familiarity with the financial services industries.
  • Advanced ML Techniques and ability to work on NLP / Deep Learning Algorithms.
  • Knowledge on Large Language Model(s).
  • Presentation/Communication Skills.


ABOUT US

JPMorgan Chase & Co., 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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: JPMorgan-210558653
Employment Type: Full Time