The Core Engineering - Search & Entity Model Eng - Associate - Bengaluru Bengaluru · India · Associate

Goldman Sachs Bank AG; Hinoba-an; On-site; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Flexible vacation policy

On-site health centers

Job summary

Goldman Sachs is seeking an experienced AI/ML Engineer to join the Compliance Engineering team. You will design GenAI-driven solutions, including agentic frameworks to automate compliance processes and RAG pipelines, working with data at scale and embedding knowledge bases.

You will collaborate with compliance officers, legal counsel, and other stakeholders to translate business requirements into production-ready code, stay current with AI/ML advancements, and contribute to a robust, scalable

Qualifications

• A Bachelor's, master's or PhD degree 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 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.

Responsibilities

• Design, develop, and implement GenAI-driven solutions, including agentic frameworks for automating compliance processes, RAG pipelines, and embeddings of 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.
• 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.

Skills

Python

GenAI techniques

RAG pipelines

LangChain/AutoGen

Embeddings/Vector DBs

MLOps (Docker/Kubernetes)

Model evaluation

Communication skills

Education

CS/ML degree (Bachelor/Master/PhD)

Tools

Docker

Kubernetes

TensorFlow

PyTorch

HuggingFace

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 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 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.

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.

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.