The Core Engineering - Search & Entity Model Eng - Associate - Hyderabad

Goldman Sachs Group, Inc.; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Goldman Sachs seeks an experienced AI/ML Engineer to join Compliance Engineering. You will design GenAI-driven solutions, build RAG pipelines, and embed compliance knowledge bases to automate processes at scale.

You will work on model fine-tuning, prompt engineering, and deploying AI agents, collaborating with compliance teams, and ensuring production-grade code with strong software practices.

Qualifications

• A Bachelor's, master's or PhD in Computer Science, Machine Learning, Mathematics or a related field.
• 3+ years AI/ML industry experience for Bachelor's/Master's; 1 year for PhD focusing on Language Models.
• Strong foundation in ML algorithms including transformers, RNNs, CNNs.
• Proficiency in Python and libraries: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn.
• GenAI techniques incl. RAG, model fine-tuning, prompt engineering, AI agents, evaluation techniques.
• Experience with embedding models and vector databases.
• Experience with MLOps: deployment, containerization (Docker, Kubernetes), CI/CD, monitoring.
• Strong verbal and written communication; curiosity and collaboration.

Responsibilities

• Design, develop, and implement GenAI-driven solutions and agentic frameworks for automated compliance processes.
• Explore AI/ML problems including model fine-tuning, prompt engineering, and experimentation.
• Develop, test, and maintain production-ready code.
• Collaborate with compliance officers, legal counsel, and stakeholders to translate requirements into solutions.
• Participate in code reviews and promote best practices for AI/ML development.
• Stay current with AI/ML platforms, tools, and techniques for real-world problems.

Skills

Python

TensorFlow

PyTorch

HuggingFace

scikit-learn

GenAI techniques

RAG

Model fine-tuning

Prompt engineering

AI agents

Evaluation techniques

Embedding models

Vector databases

MLOps

Docker

Kubernetes

CI/CD

Model monitoring

Communication

Education

Bachelor's/Master's/PhD in CS/ML/Math

Tools

Langchain

AutoGen

VectorDBs

Job description

The Core Engineering

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units:

• Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions

• The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics

• Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions

• Non-Financial Risk & Controls: responsible for non-financial risk and control processes

• Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement

• Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk

YOUR IMPACT

Are you passionate aboutleveragingcutting-edgeAI/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 andoperate a suite of platforms and applications that protect the firm and its clients.

We offer:

• Access topetabytescaleof structured and unstructured data to fuel your AI/ML models, including textual data suitable for LLM applications.
• The opportunity to work withstate-of-the-artLLM modelsand agenticframework.
• 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 andmaintainits reputation.

Within Compliance Engineering, we are seeking an experienced AI/ML Engineer to join our Engineering team.This role will focusonsolvinghighlycomplexbusinessproblems usingAI/MLtechniques,incorporating latestemergingtrends om building outverticalAI agents to run on data atmassivescale.

HOW YOU WILL FULFILL YOUR POTENTIAL

As a member of our team, you will:

• Design, develop, and implement GenAI-driven solutions, including agentic frameworks for automating complianceprocesses, RAGpipelines, and embeddingsof compliance knowledge bases.
• Explorediverse AI/ML problems, such as model fine-tuning, prompt engineering, and experimentation with different algorithmic approaches to address novel business challenges.
• Develop, test, andmaintainhigh-quality, production-ready code.
• 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 tosolve business problems.

QUALIFICATIONS

A successful candidate willpossessthe following attributes:

• A Bachelor's,master’sor PhDdegree in Computer Science,Machine Learning, Mathematics,or a similar field of study.
• Preferably 3+ years AI/ML industry experience for Bachelor’s/Masters, 1 year for PhD with a focus on Language Models.
• Strong foundationin machine learning algorithms, including deep learning architectures (e.g., transformers, RNNs, CNNs)
• Proficiencyin Python and relevant libraries/frameworks such as TensorFlow,PyTorch, Hugging Face Transformers, scikit-learn.
• Demonstratedexpertisein GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fine-tuning, prompt engineering,AI agents, andevaluation techniques.
• Experience working with embedding models and vector databases.
• ExperiencewithMLOpspractices, including model deployment, containerization (Docker,kubernetes), CI/CD, and model monitoring.
• Strong verbal and written communication skills.
• Curiosity,ownershipand willingness to work in a collaborative environment.

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

• Experience with Agentic Frameworks (e.g.,Langchain,AutoGen) and their application to real-world problems.
• Understandingofscalability 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.
• Familiarity with financial regulations and compliance requirements.

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. 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

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.