Senior Data Scientist
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Summary
Senior Data Scientist in Washington DC (onsite 5 days/week) building proprietary foundation models and multi-agent AI systems for fintech use cases. Day-to-day involves LLM fine-tuning (PEFT/RLHF), agentic orchestration with RAG, and synthetic data engineering using tools like PyTorch, LangGraph, and LangChain.
Job Title- Senior Data Scientist
Location- Washington DC
Onsite- 5 days
Primarily we are looking for Sr Data Scientist who have good experience with Agents and related frameworks & use cases fit for FinTech.
What You Will Do:
- Develop Foundation Models: Contribute to the end-to-end development of proprietary foundation models and domain-specific fine-tuning (PEFT, RLHF) to solve high-stakes business challenges.
- Architect Agentic Systems: Engineer sophisticated multi-agent orchestrations, autonomous reasoning loops, and tool-calling workflows that integrate advanced RAG for complex, multi-step problem solving.
- Engineer High-Fidelity Data: Drive the synthesis of curated and synthetic datasets, ensuring data integrity for large-scale model pre-training, alignment, and benchmarking.
What You Will Bring:
- Distinguished Academia: An advanced degree (PhD or Masters) in Computer Science or a quantitative field from a world-class institution.
- Elite Industry Pedigree: A proven track record of delivering high-impact AI solutions at top-tier tech firms, AI research labs, or leading management consulting practices.
- Deep Generative AI Mastery: 3+ years of specialized experience in LLM development, including the design of autonomous agents, architectural design of foundation models, and production-grade RAG pipelines.
Technical Proficiencies:
- Frameworks: PyTorch, TensorFlow, JAX.
- Agent & LLM Orchestration: LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, LlamaIndex.
- Fine-Tuning & Ops: DeepSpeed, LoRA/QLoRA, vLLM, Triton Inference Server.
- Data & Vector Infra: Pinecone, Milvus, Weaviate, Spark, SQL.