Lead Data Scientist AIML and Software Engineering
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Description:
This role part of the Digital Intelligence team offers opportunity in the financial services industry by developing impactful Machine Learning solutions
As aData Scientist Lead within the team at JPMorgan you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research experiment develop and productionize high-quality machine learning models services and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.
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
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
