Artificial Intelligence and Machine Learning Engineer - Vice President

Job Description

Role Overview:As an AI/ML Engineer in Compliance Engineering at Goldman Sachs, you will have the opportunity to leverage cutting-edge AI/ML techniques to solve complex problems and contribute to safeguarding a leading global financial institution. You will work within a global team dedicated to preventing, detecting, and mitigating regulatory and reputational risks, utilizing petabyte scale data and state-of-the-art models to make a tangible impact on risk management and reputation maintenance.Key Responsibilities:- Design and architect scalable and reliable AI/ML solutions tailored for compliance applications, ensuring adherence to regulatory requirements.- Explore diverse AI/ML problems, experiment with different algorithmic approaches, and develop high-quality, production-ready code.- Lead technical projects, provide mentorship to junior engineers, collaborate with stakeholders to translate business requirements into technical solutions.- Participate in code reviews, promote best practices for AI/ML development, and stay updated with advancements in AI/ML platforms and techniques.Qualifications:- Bachelors, Masters or PhD degree in Computer Science, Machine Learning, Mathematics, or similar field.- 7 years of AI/ML industry experience for Bachelors/Masters, 4 years for PhD, with a focus on Language Models.- Strong foundation in machine learning algorithms, proficiency in Python and relevant libraries/frameworks.- Expertise in GenAI techniques, experience with embedding models, MLOps practices, and strong communication skills.- Curiosity, ownership, willingness to collaborate, and ability to mentor junior engineers.Additional Details:Goldman Sachs is a leading global investment banking, securities, and investment management firm committed to diversity and inclusion. They offer opportunities for professional and personal growth through training, development, and wellness programs. The company is an equal opportunity employer, providing reasonable accommodations for candidates with special needs or disabilities during the recruiting process. Role Overview:As an AI/ML Engineer in Compliance Engineering at Goldman Sachs, you will have the opportunity to leverage cutting-edge AI/ML techniques to solve complex problems and contribute to safeguarding a leading global financial institution. You will work within a global team dedicated to preventing, detecting, and mitigating regulatory and reputational risks, utilizing petabyte scale data and state-of-the-art models to make a tangible impact on risk management and reputation maintenance.Key Responsibilities:- Design and architect scalable and reliable AI/ML solutions tailored for compliance applications, ensuring adherence to regulatory requirements.- Explore diverse AI/ML problems, experiment with different algorithmic approaches, and develop high-quality, production-ready code.- Lead technical projects, provide mentorship to junior engineers, collaborate with stakeholders to translate business requirements into technical solutions.- Participate in code reviews, promote best practices for AI/ML development, and stay updated with advancements in AI/ML platforms and techniques.Qualifications:- Bachelors, Masters or PhD degree in Computer Science, Machine Learning, Mathematics, or similar field.- 7 years of AI/ML industry experience for Bachelors/Masters, 4 years for PhD, with a focus on Language Models.- Strong foundation in machine learning algorithms, proficiency in Python and relevant libraries/frameworks.- Expertise in GenAI techniques, experience with embedding models, MLOps practices, and strong communication skills.- Curiosity, ownership, willingness to collaborate, and ability to mentor junior engineers.Additional Details:Goldman Sachs is a leading global investment banking, securities, and investment management firm committed to diversity and inclusion. They offer opportunities for professional and personal growth through training, development, and wellness programs. The company is an equal opportunity employer, providing reasonable accommodations for candidates with special needs or disabilities during the recruiting process.

Keyskills :
PythonContainerizationAIMLLarge Language ModelsGenAI techniquesRetrievalAugmented Generation RAGModel finetuningPrompt engineeringAI agentsEmbedding modelsMLOps practicesTensorFlowPyTorchHugging Face TransformersscikitlearnMachine Learning