Associate-Software Engineering

As an Associate GenAI Developer at Goldman Sachs, you will be an integral part of the dynamic and global team, focusing on applied generative AI within the Wealth Management division. Your role will involve developing and implementing AI solutions, staying abreast of the latest AI advancements, and collaborating with cross-functional teams to drive innovation. **Key Responsibilities:** - Work closely with stakeholders to understand requirements and deliver AI solutions across various domains in Wealth Management. - Keep yourself updated with the latest advancements in AI and machine learning technologies. - Conduct research and experiments to enhance AI capabilities within the division. **Required Competencies:** - **Retrieval-Augmented Generation (RAG):** Experience in developing and implementing RAG models to improve information retrieval and generation tasks. - **Vector Stores:** Knowledge of Vector Stores for efficient data storage and retrieval. - **Prompt Engineering:** Skills in designing and optimizing prompts for AI models to enhance accuracy and relevance. - **Large Language Model APIs (LLM APIs):** Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude). - **Programming Languages:** Proficiency in Python, Java, or other relevant programming languages. - **Data Analysis:** Strong analytical skills and experience with data analysis tools. - **Problem-Solving:** Excellent problem-solving abilities with attention to detail. - **Communication:** Strong verbal and written communication skills. **Preferred Competencies:** - **Graph RAG:** Proficiency in using Graph RAG for complex data relationships and insights. - **Knowledge Graphs:** Expertise in building and managing Knowledge Graphs to represent and query complex data structures. - **Machine Learning Frameworks:** Experience with TensorFlow, PyTorch, or similar frameworks. - **Cloud Platforms:** Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. - **Natural Language Processing (NLP) and Computer Vision:** Understanding of NLP and computer vision technologies. - **Previous Experience:** Previous experience in a similar role or industry. - **Education:** Masters or Ph.D. in Computer Science, Data Science, or a related field. - **Experience:** 3-5 years of relevant experience. About Goldman Sachs: At Goldman Sachs, the commitment is to help clients, shareholders, and communities grow by dedicating people, capital, and ideas since 1869. A leading global investment banking, securities, and investment management firm headquartered in New York, with offices worldwide, Goldman Sachs is dedicated to fostering diversity and inclusion within the workplace and beyond, providing numerous opportunities for professional and personal growth. Goldman Sachs is committed to accommodating candidates with special needs or disabilities during the recruiting process. Learn more at [Goldman Sachs Disability Statement](https://www.goldmansachs.com/careers/footer/disability-statement.html). Goldman Sachs Group, Inc., 2023. All rights reserved.,