Senior Data Scientist

Blackbuck Insights

Washington (District of Columbia)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Blackbuck Insights in Washington DC is seeking a Senior Data Scientist to lead end-to-end AI initiatives. You will contribute to building proprietary foundation models, design autonomous agent systems, and develop complex RAG-enabled workflows.

A strong academic background and a track record delivering AI solutions at leading firms are required. The role emphasizes production-grade ML, data quality, and collaboration with cross-functional teams to translate research into scalable business value.

Qualifications

  • Advanced degree (PhD or Masters) in Computer Science or a quantitative field from a world-class institution.
  • Proven track record of delivering high-impact AI solutions at top-tier tech firms, AI research labs, or leading management consulting practices.
  • 3+ years of specialized experience in LLM development, including autonomous agents and production-grade RAG pipelines.
  • Familiarity with PyTorch, TensorFlow, and JAX.
  • Experience with agent orchestration tools (LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, LlamaIndex).
  • Experience with model fine-tuning and ops tools (DeepSpeed, LoRA/QLoRA, vLLM, Triton).

Responsibilities

  • Develop end-to-end proprietary foundation models and domain-specific fine-tuning (PEFT, RLHF) to solve business challenges.
  • Architect multi-agent orchestrations, autonomous reasoning loops, and tool-calling workflows integrated with RAG systems.
  • Engineer high-fidelity data pipelines, including synthetic data generation for large-scale model pre-training and benchmarking.

Skills

LLM development
Autonomous agents design
RAG pipelines
Production-grade ML systems

Education

PhD or Masters in CS/quant field

Tools

PyTorch
TensorFlow
JAX
LangGraph
Semantic Kernel
CrewAI
AutoGen
LangChain
LlamaIndex
DeepSpeed
LoRA/QLoRA
vLLM
Triton Inference Server

Job description

Washington DC, United States | Posted on 09/29/2026

  • State/Province Washington DC district of Columbia
  • Country United States
About Us

BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.

Job Description

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.
  • Frameworks: PyTorch, TensorFlow, JAX.
  • Agent & LLM Orchestration: LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, LlamaIndex.
  • Fine-Tuning & Ops: DeepSpeed, LoRA/QLoRA, vLLM, Triton Inference Server.
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