Senior Associate -Applied AI ML -Digital

🏢 JP Morgan
📍 Bengaluru, IndiaFull-timeOn-site
📅 Posted: 5mo ago🔄 Updated: 5mo ago
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✨ AI Summary
JPMorgan Chase is seeking top talents for their AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. The role focuses on end-to-end projects with an emphasis on engineering, particularly in developing cutting-edge natural language processing (NLP) systems for banking operations. Responsibilities include applying deep NLP knowledge, contributing to the full product development lifecycle, and acting as an advanced contributor in system development, computer algorithms, NLP, and machine learning. The ideal candidate will have undergraduate and master's degrees in Computer Science, excellent communication skills, and at least 2 years of advanced programming experience in multiple languages, with a strong foundation in core computer science concepts. Preferred qualifications include a specialization in NLP or Search, experience with distributed systems and machine learning, and proficiency in languages like Spark, Python, Scala, and Java.
Requirements
Required qualifications include undergraduate and master's degrees in Computer Science, outstanding written and oral communication skills, and at least 2 years of advanced programming experience in more than one language, with a full understanding of data structures, algorithms, operating systems, compilers, databases, and systems. Preferred qualifications include a computer science degree with a concentration in NLP or Search experience, and experience with distributed infrastructure, platforms, and computational methods, including distributed ML, NLP, search, and developing large-scale machine learning solutions.
Description

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.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00