Morgan Stanley is looking to solve complex business problems through innovation and engineering practices, specifically by building an Enterprise Knowledge Graph using Graph and Semantic technologies, LLMs, and Agentic AI to map complex business, application, data, and infrastructure asset relationships.
Requirements
- Proven experience building and deploying to production GenAI models with demonstrable business value realization
- 5+ years’ experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques
- Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost
- Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets.
- Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable.
- Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases
- Strong understanding of multiagent architectures and experience with frameworks for agent development
Responsibilities
- Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems.
- Integrate knowledge graph, LLMs and multiagent systems
- Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks.
- Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data.
- Use machine learning frameworks and tools to train, fine-tune, and optimise models.
- Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies.
- Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business.
Other
- Master’s or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field
- Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders.
- Ability to work in a team-oriented and collaborative environment.
- Expected base pay rates for the role will be between $150,00 and $210,000 per year at the commencement of employment.
- Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet)
