The Core Engineering - Search & Entity Model Eng - Vice President - Bengaluru

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.

• A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning,

Mathematics, or a similar field of study.

• Minimum 6+ 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

• 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.
• Demonstrated ability to collaborate effectively with peers and contribute in

a highly technical, fast-paced engineering environment.

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.
• Familiarity with financial regulations and compliance requirements.

• 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 building and delivering high-impact AI/ML solutions for complex business problems, incorporating the latest emerging trends and building vertical AI agents to run on data at massive scale.

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.

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