State Street's Global Technology Services (GTS) organization is driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies. This role aims to contribute to this transformation by developing and deploying AI solutions on AWS Cloud infrastructure.
Requirements
- Artificial Intelligence (AI)
- Prompt Engineering
- Python (Programming Language)
- Cloud Computing
- Application Development
- AWS Certified Cloud Practitioner
- Certifications in Generative AI, Prompt Engineering, or Responsible AI
Responsibilities
- Develop and test AI applications using large language models (LLMs) and prompt engineering techniques.
- Support the deployment of AI solutions on AWS Cloud infrastructure using services like SageMaker, Lambda, and Bedrock etc.
- Analyze structured and unstructured data to generate insights and support AI model fine-tuning.
- Create and maintain data pipelines and APIs for AI workflows.
- Build dashboards and visualizations to communicate AI-generated insights to stakeholders.
- Collaborate with cross-functional teams to identify use cases for AI and deliver prototypes.
- Document AI use cases, performance metrics, and ethical considerations.
Other
- Final-year undergraduate or graduate students pursuing degrees in Computer Science, Data Science, Engineering, or related technical disciplines who are interested in converting to a full-time role post-graduation.
- Strong interest in GenAI, cloud computing, and commitment to continuous learning and ethical AI development desired.
- Enthusiastic about building a long-term career in a dynamic, technology-driven organization
- Effective communicators with the ability to collaborate in a team-oriented environment
- Open to feedback and committed to continuous learning and improvement
