Position: AI/ML Engineer (Intern)
Type: Internship
Duration: 6 Months
About Us
Digital Alpha Platforms is a New York-based data and AI firm focused on financial services. We combine transformative solutions, cloud technologies, and a top-tier team with backgrounds at McKinsey, Bloomberg, Goldman Sachs, JP Morgan Chase, and Deloitte. As AWS partners (with Financial Services and Data Analytics Competencies), we lead digital transformation initiatives that help clients exceed future expectations.
Job Description
Interns will support the design, prototyping, and deployment of generative AI solutions, focusing on:
- Architecting and implementing Retrieval-Augmented Generation (RAG) and Graph RAG pipelines
- 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
Preferred Skills
- Experience with multi-modal retrieval systems
- Understanding of GNNs and knowledge graph-based retrieval
