Data Scientist Associate Senior- Connect Coach

4 days ago

Bengaluru, Karnataka, India JPMorgan Chase Full time

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


  As a Data Engineer III 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

  • Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions 
  • Partnerships with peers in a geographically dispersed team and colleagues across organizational lines 
  • Collaborates across JPMorgan AWM's lines of business and functions to accelerate adoption of common AI capabilities 
  • Designs and implement highly scalable and reliable data processing pipelines and deploy model inference services. 
  • Deploys solutions into public cloud infrastructure 
  • Experiments, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact 

Required qualifications, capabilities, and skills

  • Formal training or certification on Data Science concepts and 3+ years applied experience
  • Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions 
  • Solid Python programming skills required; with other high-performance language such as Go a big plus 
  • Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. 
  • Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus 
  • Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) 
  • Expertise in application, data, and infrastructure architecture disciplines 
  • Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. 
  • Excellent communication skills and ability to communicate with senior technical and business partners 
Preferred qualifications, capabilities, and skills
  • Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. 
  • Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn 
  • Understanding of finance or wealth management businesses is an added advantage 

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