GenAI/ML Engineer - Compliance & Risk Platforms

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

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