Overview
Asset & Wealth Management - AI / Machine Learning Software Engineer, Marcus Deposits - Vice President - Birmingham
Key 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 overarching business goals.
- Lead the hands-on design, development, and implementation of complex machine learning models and algorithms, including advanced GenAI techniques, from concept through to production, ensuring scalability, reliability, and alignment with business objectives.
- Drive innovation by staying abreast of the latest advancements in AI, machine learning, and GenAI technologies, identifying opportunities to incorporate cutting-edge solutions to maintain the company\'s competitive edge.
- Oversee the full lifecycle of AI solutions, from Proof of Concept to production-ready deployment, ensuring performance and reliability.
- Collaborate closely with internal stakeholders across various divisions, including engineering, data science, and operations teams, to deliver integrated and impactful AI solutions.
- Lead and mentor a team of AI engineers and data scientists, fostering a culture of technical excellence, continuous learning, and innovation.
- Manage budgets, financial forecasts, and resource allocation for AI product teams, ensuring operational excellence and adherence to data security, privacy regulations, and ethical AI principles.
- Present product strategy, key developments, and performance metrics to senior leadership, providing data-backed insights and recommendations to shape overall AI initiatives and business decisions.
- Develop and implement Retrieval-Augmented Generation (RAG) models, leverage Vector Stores, and apply advanced Prompt Engineering techniques to enhance information retrieval and generation tasks.
Skills and Experience We Are Looking For
- A Master\'s or Ph.D. degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent relevant industry experience.
- Preferably 7+ years of AI/ML industry experience, with a significant portion in a leadership or senior technical role.
- Extensive hands-on experience in developing and managing DSML projects, with a proven track record of delivering impactful data science projects from inception to implementation.
- Deep programming expertise in Python, with strong knowledge of data structures, algorithms, and software engineering practices.
- Advanced understanding of mathematics, including linear algebra, calculus, probability, and statistics.
- Expertise in data preprocessing, cleaning, transformation, and feature engineering, with hands-on proficiency in libraries like NumPy, Pandas, and Scikit-learn.
- Excellent understanding of DSML techniques/algorithms, and extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Demonstrated technical leadership, mentorship, and experience in driving cross-team projects.
- Proficiency in Retrieval-Augmented Generation (RAG), Vector Stores, and advanced Prompt Engineering.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for scalable data processing and model deployment.
- Prior experience in the finance industry is highly preferred.
About Goldman Sachs
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.
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
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
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.
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