Wealth Management-Associate-GenAI Developer
| Company | Goldman Sachs |
|---|---|
| Location | Dallas, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.
- Knowledge of Vector Stores for efficient data storage and retrieval.
- Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.
- Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).
- Proficiency in Python, Java, or other relevant programming languages.
- Strong analytical skills and experience with data analysis tools.
- Excellent problem-solving abilities and attention to detail.
- Strong verbal and written communication skills.
Responsibilities
- Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management.
- Stay updated with the latest advancements in AI and machine learning technologies.
- Conduct research and experiments to improve AI capabilities within the division.
Preferred Qualifications
- Proficiency in using Graph RAG for complex data relationships and insights.
- Expertise in building and managing Knowledge Graphs to represent and query complex data structures.
- Experience with TensorFlow, PyTorch, or similar frameworks.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with natural language processing (NLP) and computer vision technologies.
- Previous experience in a similar role or industry.
- Master’s or Ph.D. in Computer Science, Data Science, or a related field.