[Hiring] AI/ML Engineer @Digital Alpha Platforms

Role 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