JPMorgan Applied AI ML Associate Senior 

India, Karnataka, Bengaluru 

118655815

Job responsibilities

• Efficiently design, deploy, and manage prompt-based models on LLMs for various NLP tasks in the financial services domain.
• Thoroughly conduct research on prompt engineering techniques to enhance the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
• Collaboratively work with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
• Effectively communicate with both technical and non-technical stakeholders.
• Skillfully build and maintain data pipelines and data processing workflows for prompt engineering on LLMs, utilizing cloud services for scalability and efficiency.
• Diligently develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
• Carefully analyze and interpret data to evaluate model performance and identify areas for improvement.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ 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

• Familiarity with model fine-tuning techniques such as DPO and RLHF.
• Knowledge of financial products and services including trading, investment and risk management