Senior Associate -Applied AI ML -Digital

We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. Come join us in reshaping the future!

As an  Applied AI ML Associate Sr within our AI for Operations team, you will work on developing cutting-edge natural language processing systems to serve our customers and internal agents supporting the bank’s operations .You will experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business.

Job Responsibilities

• Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
• Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
• Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

Required qualifications, capabilities, and skills:

• Undergraduate and master’s degrees in Computer Science, 

• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.

• Advanced demonstratable programming skills of 2 years (masters or industry experience) on more than 1 programming language is required. 
• Can learn quickly programming in another programming language and seamlessly.
•  Full understanding of and hands-on programming with data structures, algorithms, operating systems, compilers, databases, and systems. 

Preferred qualifications, capabilities, and skills:

• Undergraduate and master’s degree in computer science with concentration in NLP or Search experience.
• Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).
• Prefer training and work experience in NLP and search.  
• experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Spark, Python, Scala, Java.

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.

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.