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4 Weeks ago

Software Engineer III - Fullstack (React & Python)

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Pune, Maharashtra, India
Information Technology
Full-Time
JPMorganChase

Overview

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

  • Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
  • Deploy solutions into public cloud (AWS or Azure) infrastructure.
  • Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact.
  • Write code to create several machine learning experimentation pipelines.
  • Design and implement feature engineering pipelines and push them to feature stores.
  • Analyze large datasets to extract actionable insights and drive data-driven decision-making.
  • Ensure the scalability and reliability of AI/ML solutions in a production environment.

Required Qualifications, Capabilities, And Skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Proficient in coding in Javascript, ReactJS, HTML and CSS.
  • Proven experience as a front-end developer with a strong focus on ReactJS and Typescript.
  • Technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability
  • Proficiency in programming languages such as Python, Java etc.
  • Full-stack experience API development, including JavaScript frameworks such as React, would be highly valuable
  • Experience in using GenAI (OpenAI or AWS Bedrock) to solve business problem.
  • Experience with large scale training, validation and testing
  • Experience and skills in training and deploying ML models on AWS SageMaker or Bedrock
  • Experience in machine learning frameworks such as TensorFlow, PyTorch, Pytorch Keras, or Scikit-learn.
  • Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS, ECS).

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, as well as LLM frameworks, such as LangChain, LangGraph, etc
  • Understanding of finance or investment banking businesses is an added advantage

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