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.
Key Skills for This Role
dockerhuggingfacekuberneteslangchainpythonpytorch
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QUALIFICATIONS
A successful candidate will possess the following attributes:
A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study.
Preferably 7+ 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 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.
Proven ability to mentor and guide junior engineers.
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.
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ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit to 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.
About Goldman Sachs
Financial Services10,001+Founded 1869
Goldman Sachs is a global investment banking, securities, and investment management firm. It provides a wide range of financial services including advisory, underwriting, lending, and asset management to corporations, governments, and individuals worldwide.