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Applied AI/ML Senior Associate

up to ₹4000k/year Bengaluru, Karnataka, India Full-time
Machine Learning EngineerData ScientistArtificial Intelligence EngineerPython DeveloperData EngineerFull Stack Python Developer

hackajob is partnering with JPMorganChase to fill this position. Create a free profile and Archer will check you against this role and every other live role, showing you exactly where you match.

JOB DESCRIPTION

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Applied AI/ML Senior Associate at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Engages with stakeholders and understanding business requirements
  • Develops AI/ML solutions to address impactful business needs
  • Works with other team members to productionize end-to-end AI/ML solutions
  • Engages in research and development of innovative relevant solutions
  • Documents developed AI/ML models to stakeholders
  • Coaches other AI/ML team members towards both personal and professional success
  • Collaborates with other teams across the firm to attain the mission and vision of the team and the firm
     

Required qualifications, capabilities, and skills

  • Formal training or certification on data science concepts and 3+ years applied experience
  • Experience in the application of AI/ML to a relevant field.
  • Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
  • Strong experience in natural language processing (NLP) and its applications
  • Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
  • Previous experience in working on Spark, Hive, and SQL
     

Preferred qualifications, capabilities, and skills

  • Financial service background

  • PhD/Masters  in one of the above disciplines

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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​

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