Building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency at a major investment firm
Requirements
- Familiarity with Python, SQL, AWS, and JIRA
- Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts
- Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms
- Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines
- Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL
- Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently
- Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods
- Programming Languages: Python and SQL
Responsibilities
- Provide deep technical leadership to a portfolio of high impact data science initiatives
- Leverage experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales
- Manage team members in AI/ML and model development, testing, training, and tuning
- Communicate clearly and concisely, in writing and verbally, all facets of model design and development
- Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on AI/ML platform
- Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day
- Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies
Other
- Masters or Ph.D. in Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs
- 8-10 years of relevant industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions
- Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products
- Ability to influence business stakeholders and to drive adoption of AI/ML solutions
- Excellent problem solving, communication and collaboration skills, and stakeholder management
