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JPMorgan Applied AI ML Lead 
India, Karnataka, Bengaluru 
764937563

11.01.2025

Job responsibilities

  • Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain
  • Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
  • Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
  • Communicate effectively with both technical and non-technical stakeholders
  • Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
  • Develop and maintain tools and framework for prompt-based model training, evaluation and optimization
  • Analyze and interpret data to evaluate model performance to identify areas of improvement

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience with prompt design and implementation or chatbot application
  • Strong programming skills in Python with experience in PyTorch or TensorFlow
  • Experience building data pipelines for both structured and unstructured data processing.
  • Experience in developing APIs and integrating NLP or LLM models into software applications
  • Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
  • Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
  • Basic knowledge of deployment processes, including experience with GIT and version control systems
  • Familiarity with LLM orchestration and agentic AI libraries
  • Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment
Preferred qualifications, capabilities, and skills
  • Familiarity with model fine-tuning techniques such as DPO and RLHF.
  • Knowledge of Java, Spark
  • Knowledge of financial products and services including trading, investment and risk management