What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.   Who We Look For Goldman Sachs is seeking an AI Quant Engineer to join our Applied AI Team. As an AI Quant engineer, you will leverage your expertise in quantitative trading, statistics, and machine learning to develop and implement AI-driven quantitative technologies that enhance revenue generation and foster innovation within the firm. In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance, such as time series forecasting, market making, and pricing. As an AI Quant engineer, you will tackle the unique challenges associated with machine learning systems in the quant trading domain. Join us in pushing the boundaries of what is possible at the intersection of quantitative finance and artificial intelligence! Responsibilities <ul> <li>Design, train, and deploy scalable AI models to drive commercial outcomes.</li> <li>Conduct experimentation and analysis to enhance model performance.</li> <li>Collaborate effectively with colleagues to advance the production of machine-learning systems and applications.</li> <li>Develop, test, and maintain high-quality, production-ready code. </li> </ul>   Required Qualifications <ul> <li>A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.</li> <li>A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.</li> <li>Proficiency in contemporary programming languages like Python and/or Java.</li> <li>Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.</li> <li>Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.</li> </ul>   Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.  We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.    We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html     © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity    Global Banking &amp; Markets - Operational &amp; Analytical Data - Associate - Bengaluru