Data Scientist Lead

** - 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 enhance the performance of prompt-based models within the financial services sector, utilizing LLM orchestration and agentic AI libraries - Collaborate with cross-functional teams to identify requirements and develop solutions that align with the organization's business needs - Communicate effectively with technical and non-technical stakeholders - Establish and maintain data pipelines and processing workflows for prompt engineering on LLMs using cloud services for scalability and efficiency - Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization - Analyze and interpret data to assess model performance and identify areas for enhancement **

** - Formal training or certification in software engineering concepts with at least 5 years of applied experience - Proficiency in Python programming with experience in PyTorch or TensorFlow - Experience in prompt design and implementation or chatbot applications - Building data pipelines for structured and unstructured data processing - 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 - Strong problem-solving skills and the ability to communicate ideas and results clearly to stakeholders and leadership - Familiarity with LLM orchestration and agentic AI libraries - Experience with MLOps tools and practices for seamless integration of machine learning models into production environments - Basic knowledge of deployment processes, including experience with GIT and version control systems **Preferred Qualifications:** - Familiarity with model fine-tuning techniques such as DPO and RLHF - Knowledge of Java and Spark - Understanding of financial products and services including trading, investment, and risk management This role offers you the opportunity to work at JPMorgan Chase, a leading financial institution with a rich history spanning over 200 years. Our commitment to diversity and inclusion drives our success, and we are proud to be an equal opportunity employer. We value the unique talents that our employees bring to our global workforce and make accommodations for religious practices, beliefs, mental health, physical disabilities, and other protected attributes. Apply through the company's redirected page to be considered for this position. As a Data Scientist Lead within Asset & Wealth Management at our company, you have an exciting opportunity to leverage your quantitative, data science, and analytical skills to address complex problems. Your role involves collaborating with various teams to design, develop, evaluate, and implement data science and analytical solutions while maintaining a deep functional understanding of the business challenges at hand. **

** - 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 enhance the performance of prompt-based models within the financial services sector, utilizing LLM orchestration and agentic AI libraries - Collaborate with cross-functional teams to identify requirements and develop solutions that align with the organization's business needs - Communicate effectively with technical and non-technical stakeholders - Establish and maintain data pipelines and processing workflows for prompt engineering on LLMs using cloud services for scalability and efficiency - Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization - Analyze and interpret data to assess model performance and identify areas for enhancement **

** - Formal training or certification in software engineering concepts with at least 5 years of applied experience - Proficiency in Python programming with experience in PyTorch or TensorFlow - Experience in prompt design and implementation or chatbot applications - Building data pipelines for structured and unstructured data processing - 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 - Strong problem-solving skills and the ability to communicate ideas and results clearly to stakeholders