ADP is hiring a Senior Data Scientist - Ventures
- We're seeking an experienced Senior Data Scientist to lead the development of next-generation conversational AI systems.
- You'll work to architect end-to-end pipelines — spanning from prompt design through model orchestration and deployment — to deliver cutting-edge text-based assistants at scale.
Key Responsibilities
- GenAI & LLM Integration: Design, prototype, and productionize solutions using OpenAI, Anthropic Claude, and open-source large language models.
- Function & Tool Calls: Implement robust function-calling and tool-calling workflows to connect your LLM agents to external APIs, knowledge bases, and microservices.
- Conversation Management: Build and maintain conversation history stores and memory to enable context-aware dialogue.
- Prompt Engineering & Testing: Lead iterative prompt design, to build the most optimized custom prompts for different tasks.
- Agent Orchestration: Evaluate, select, and integrate agent frameworks (e.g., LangChain, LangGraph, SmolAgents, or similar) to coordinate multi-step workflows and dynamic tool usage.
- NLP Fundamentals: Apply core NLP techniques (tokenization, embeddings, data processing) as needed to preprocess data and enrich model inputs.
- Model Fine-tuning: Fine-tune transformer models for custom tasks, including text classification, information extraction, and named-entity recognition (NER).
- Conversation Engine Development: Build and maintain scalable pipelines for conversational assistants.
Must-Have Qualifications
- Experience in Machine Learning/AI, focused on large language models and conversational systems.
- Hands-on expertise with OpenAI APIs (ChatGPT, function call) and/or Anthropic Claude; familiarity with open-source LLMs (e.g., Llama, Mistral).
- Demonstrated ability to build custom prompt templates.
- Proficiency with at least one agent orchestration framework (LangChain, LangGraph, SmolAgents, or similar).
- Solid understanding of session management, conversation history/data storage, and memory architectures.
- Experience fine-tuning transformer models (Hugging Face Transformers or equivalent) for classification, extraction, and NER tasks.
- Strong software engineering skills: Python, version control (GIT), test-driven development, CI/CD.
Nice-to-Have
- Familiarity with Model Context Protocol (MCP) for context management across chains and sessions.
- Expertise with Pydantic for response validation and structured responses.
- Experience with Retrieval-Augmented Generation (RAG) workflows — including vector stores, embedding search, and retrieval pipelines.
- Background in scalable microservices or serverless architectures for deploying AI agents.
Like what you see? Apply now!
Learn more about ADP at tech.adp.com/careers
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