About Us:ย Digital Alpha Platforms is a NY-based data and AI firm with a focus on financial services. In the realm of digital transformation, our distinctiveness lies in the seamless fusion of transformative solutions, cloud technologies, and a dynamic team comprising financial technology experts from prestigious institutions such as McKinsey, Bloomberg, Goldman Sachs, JP Morgan Chase, and Deloitte. As AWS partners with badges including AWS Financial Services Competency, AWS Data Analytics Competency, and Well-Architected Partner status, we harness the power of innovative cloud capabilities. This allows us not only to redefine current business operations but also to propel your enterprise toward a future marked by unrivalled digital excellence. Beyond tackling todays challenges, our commitment is to sculpt a path for your business that outpaces the expectations of tomorrows digital landscape.
Job Description
Interns will support the design, prototyping, and deployment of generative AI solutions, focusing on:
Developing AI agents for multi-step tasks using LLMs, external tools, and knowledge graphs
Key Responsibilities:
R&D of advanced RAG methods (text, graph, multi-modal)
Building scalable pipelines for transformer model deployment
Integrating vector databases (e.g., Pinecone, Milvus) and libraries (LangChain, LlamaIndex)
Collaborating with senior engineers; documenting processes
Designing experiments to benchmark performance
Qualifications:
Pursuing a Bachelor s/Master s in CS, AI, ML, or a related field
Strong Python and experience with ML frameworks (e.g., PyTorch, TensorFlow)
Knowledge of transformer models, embeddings, prompt engineering
Familiarity with vector DBs, DevOps tools, and AWS
Understanding of GNNs and knowledge graph-based retrieval