The Core Engineering Search & Entity Model Eng Associate Bengaluru

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 firms compliance regulatory and reputational risks; Corporate Treasury responsible for the firms 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 Engineerings 2000 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 firms 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 firms 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 andoperatea 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 firms ability to manage risk andmaintainits reputation.

Within Compliance Engineering we are seeking an experienced AI/ML Engineer to join our Engineering role will focusonsolvinghighlycomplexbusinessproblems usingAI/MLtechniquesincorporating 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 Bachelorsmastersor PhDdegree in Computer ScienceMachine Learning Mathematicsor a similar field of study.
• Preferably 3 years AI/ML industry experience for Bachelors/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 TensorFlowPyTorch Hugging Face Transformers scikit-learn.
• Demonstratedexpertisein GenAI techniques including but not limited to Retrieval-Augmented Generation (RAG) model fine-tuning prompt engineeringAI agents andevaluation techniques.
• Experience working with embedding models and vector databases.
• ExperiencewithMLOpspractices including model deployment containerization (Dockerkubernetes) CI/CD and model monitoring.
• Strong verbal and written communication skills.
• Curiosityownershipand 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 () and their application to real-world problems.
• Understanding ofscalability 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. 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 committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group Inc. 2026. All rights reserved.

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.