Job Description

YOUR IMPACT

Are you passionate about leveraging cutting-edge AI/ML techniques, including Large Language Models, to solve complex, mission-critical problems in a dynamic environment? Do you want to contribute to safeguarding a leading global financial institution?

OUR IMPACT

We are Compliance Engineering, a global team of engineers and scientists dedicated to preventing, detecting, and mitigating regulatory and reputational risks across Goldman Sachs. We build and operate a suite of platforms and applications that protect the firm and its clients.


We offer:


Access to petabyte scale of structured and unstructured data to fuel your AI/ML models, including textual data suitable for LLM applications. The opportunity to work with state-of-the-art LLM models and agentic framework. A collaborative environment where you can learn from and contribute to a team of experienced engineers and scientists. The chance to make a tangible impact on the firm's ability to manage risk and maintain its reputation.

Within Compliance Engineering, we are seeking an experienced AI/ML Engineer to join our Engineering team. This role will focus on solving highly complex business problems using AI/ML techniques, incorporating latest emerging trends om building out vertical AI agents to run on data at massive scale.

HOW YOU WILL FULFILL YOUR POTENTIAL

As a member of our team, you will:


Design and architect scalable and reliable end-to-end AI/ML solutions specifically tailored for compliance applications, ensuring adherence to relevant regulatory requirements. This encompasses the development and implementation of GenAI-driven solutions, including agentic frameworks for automating compliance processes, RAG pipelines, and the creation and utilization of embeddings for compliance knowledge bases. Explore diverse AI/ML problems, such as model fine-tuning, prompt engineering, and experimentation with different algorithmic approaches to address novel business challenges. Develop, test, and maintain high-quality, production-ready code. Lead technical projects from inception to completion, providing guidance and mentorship to junior engineers. Collaborate effectively with compliance officers, legal counsel, and other stakeholders to understand business requirements and translate them into technical solutions. Participate in code reviews to ensure code quality, maintainability, and adherence to coding standards. Promote best practices for AI/ML development, including version control, testing, and documentation. Stay current with the latest advancements in AI/ML platforms, tools, and techniques to solve business problems.

QUALIFICATIONS

A successful candidate will possess the following attributes:


A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study. Preferably 7+ years AI/ML industry experience for Bachelor's/Masters, 4+ years for PhD with a focus on Language Models. Strong foundation in machine learning algorithms, including deep learning architectures (e.g., transformers, RNNs, CNNs) Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn. Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fine-tuning, prompt engineering, AI agents, and evaluation techniques. Experience working with embedding models and vector databases. Experience with MLOps practices, including model deployment, containerization (Docker, kubernetes), CI/CD, and model monitoring. Strong verbal and written communication skills. Curiosity, ownership and willingness to work in a collaborative environment. Proven ability to mentor and guide junior engineers.

Experience in some of the following is desired and can set you apart from other candidates:


Experience with Agentic Frameworks (e.g., Langchain, AutoGen) and their application to real-world problems. Understanding of scalability and performance optimization techniques for real-time inference such as quantization, pruning, and knowledge distillation. Experience with model interpretability techniques. Prior experience in code reviews/ architecture design for distributed systems. Experience with data governance and data quality principles.

ABOUT GOLDMAN SACHS

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. We're 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. 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. : https://www.goldmansachs.com/careers/footer/disability-statement.html

A The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

We Offer Best-In-Class Benefits

Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.


Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.


Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities.


Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.


Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).


Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.


Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.



Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
Hyderabad
JOB FUNCTION
Software Engineering
DIVISION
Compliance Division