AI/Machine Learning Engineer - VP
Asset & Wealth Management - AI / Machine Learning Software Engineer, Marcus Deposits - Vice President - Birmingham location_on Birmingham, West Midlands, England, United Kingdom
Overview
The Marcus by Goldman Sachs direct-to-consumer deposits business seeks a visionary AI Vice President to provide strategic leadership within the Marcus Deposits Engineering team. You will drive the strategy, development, and implementation of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, with a strong focus on Generative AI (GenAI), to revolutionize our deposits business. You will lead cross-functional initiatives, mentor teams, and ensure AI/ML capabilities are at the forefront of innovation, delivering business value and competitive advantage.
Goldman Sachs Asset & Wealth Management (AWM) includes GSAM, PWM and Marcus. We provide asset management, wealth management and banking expertise to clients worldwide.
What We Do
At Goldman Sachs, engineers build massively scalable software and systems, architect low-latency infrastructure, guard against cyber threats, and leverage machine learning alongside financial engineering to turn data into action. Our teams push the limits of digital possibilities and drive value at the speed of markets.
Who We Look For
We look for innovators and problem-solvers who thrive in a fast-paced global environment and are capable of leading cross-functional AI initiatives in a banking context.
Responsibilities
* Provide strategic leadership in defining and executing the product vision and strategy for AI/ML and GenAI solutions within Marcus Deposits, aligning initiatives with business goals.
* Lead hands-on design, development, and implementation of complex ML models and algorithms, including GenAI techniques, from concept to production, ensuring scalability and reliability.
* Drive innovation by staying current with AI/ML advancements and integrating cutting-edge solutions to maintain competitive edge.
* Oversee full lifecycle of AI solutions from Proof of Concept to production-ready deployment, ensuring performance and reliability.
* Collaborate with engineering, data science, and operations teams to deliver integrated AI solutions.
* Lead and mentor a team of AI engineers and data scientists, fostering technical excellence and continuous learning.
* Manage budgets, forecasts, and resources for AI product teams, ensuring data security, privacy, and ethical AI practices.
* Present product strategy, developments, and metrics to senior leadership with data-backed insights.
* Develop and implement Retrieval-Augmented Generation (RAG) models and leverage Vector Stores with advanced Prompt Engineering to enhance information retrieval and generation tasks.
Skills and Experience
* Master's or Ph.D. in Computer Science, Data Science, ML, or related field, or equivalent industry experience.
* Preferably 7+ years of AI/ML experience, with leadership or senior technical experience.
* Hands-on experience managing DSML projects and delivering data science initiatives from inception to production.
* Strong Python programming, data structures, algorithms, and software engineering practices.
* Solid foundation in linear algebra, calculus, probability, and statistics.
* Experience with data preprocessing, feature engineering, and libraries like NumPy, Pandas, Scikit-learn.
* Expertise in DSML techniques and deep learning frameworks (TensorFlow, PyTorch, Keras).
* Strong communication skills for technical and non-technical stakeholders.
* Demonstrated technical leadership and cross-team collaboration.
* Proficiency in RAG, Vector Stores, and advanced Prompt Engineering.
* Experience with cloud platforms (AWS, Google Cloud, Azure) for scalable data processing and deployment.
* Prior experience in the finance industry preferred.
About Goldman Sachs
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by law. We are committed to diversity and inclusion and to reasonable accommodations during recruiting processes.
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