AI/ML Architect
13 hours ago
Citigroup is seeking a highly skilled and experienced AI/ML Manager to lead the development and deployment of advanced AI/ML solutions in the Financial Planning & Analysis (FP&A) organization.
Key Responsibilities:- Design and implement AI/ML architecture to support FP&A business functions, focusing on scalability, efficiency, and robustness.
- Build and optimize data pipelines to support AI/ML initiatives, collaborating with engineering teams to develop end-to-end solutions.
- Assemble and manage a cross-functional team, including data scientists, engineers, and UI/UX professionals, to execute AI/ML projects from concept to production.
- Oversee the expansion and enhancement of our chatbot capabilities, utilizing large language models (LLMs) for querying structured and unstructured data.
- Develop and implement AI-driven anomaly detection systems to monitor and identify irregularities in both structured financial data and unstructured information sources.
- Manage the deployment of AI/ML solutions, including setting up internal GPUs, leveraging internal frameworks like R2D2 and Stellar, and ensuring the infrastructure is optimized for performance and cost-efficiency.
- Utilize cutting-edge technologies such as H2O, open-source LLMs, Document Processing Tools, RAG pipeline, Vector Databases such as ChromDB, PostgreSQL, and other Python libraries to build robust AI/ML models.
- Work closely with stakeholders across the organization to understand business needs and translate them into AI/ML solutions, communicating complex technical concepts to non-technical audiences effectively.
- 10+ years of experience in Finance projects, with a strong focus on strategic architecture and AI/ML solutions deployment in the finance domain.
- Hands-on experience with LLMs (commercial and open source) such as Mixtral/Llama3/Gemini, LangChain, Llama Index, RAG pipeline, Embedding Models, Re-Ranker Models, and Vector Databases such as ChromDB, PostgreSQL.
- Experience in leading AI/ML Finance projects, particularly in developing chatbots for querying Finance both structured/unstructured and implementing anomaly detection use cases.
- Experience with setting up internal GPUs, R2D2, Stellar, H2O, and other proprietary frameworks.
- Strong leadership and team management skills, with the ability to mentor and guide technical teams.
- Proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and data engineering tools.
- Excellent communication and collaboration skills, with the ability to work effectively across business and technical teams.
- Bachelor's degree with real-world experience.
- Will also consider previous projects or practical work done in the AI/ML space, especially in the Finance industry.
- PMP Certification is a plus.
- Certifications in AI/ML space are a plus.
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