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JPMorgan Chase & CoPosted 1 month ago

Data Scientist Associate Senior

On-siteBengaluru, Karnataka, India

Full TimeSenior LevelDoctorate Or Professional DegreeEnterpriseFinancial Services

Job Summary

Develop high-impact business solutions through data analysis, cutting-edge ML and LLM model development, and production deployment on AWS or Azure. Design and implement scalable data processing pipelines, experiment with model inference services, and collaborate with firmwide AI teams and business partners to drive adoption of common AI capabilities. Lead end-to-end solution design for lighthouse ML and LLM-powered projects while ensuring modern architecture, scalability, and security. This role requires an MS in Computer Science, Statistics, or Machine Learning, minimum 7 years of development experience with 4 years in AI, and expert knowledge of Python, cloud platforms, and data structures. Located in the Asset and Wealth Management AI Engineering team, candidates must demonstrate proven leadership in new AI/ML idea generation and possess strong communication skills for senior technical and business partners.

Required Qualifications

  • MS in Computer Science, Statistics, Mathematics, or Machine Learning
  • Minimum 7 years of development experience, with at least 4 years working on AI solutions
  • Experience in using LLMs (OpenAI, Anthropic, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails
  • Must have strong programming skills in Python
  • Deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics
  • Demonstrated ability to perform independent end-to-end solution design, with attention on modern architecture, scalability and security
  • Expert knowledge of one of the cloud computing platforms , Amazon Web Services (AWS), Azure, Kubernetes
  • Knowledge of data management, including data model design, as well as real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
  • Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
  • Excellent communication skills and ability to communicate with senior technical and business partners

Desired Qualifications

  • Experience working in the financial domain with a large financial institution in Asset and Wealth Management, Brokerage, or Investment Banking
  • Understanding of LLM fine-tuning and small language model inference
  • Ability to develop full-stack products, utilizing modern JavaScript and TypeScript frameworks, such as Next.js and Svelte
  • Knowledge of other high-performance languages, such as Go or Rust

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