Senior Data Scientist

1 dia atrás

Porto Alegre, Rio Grande do Sul, Brasil ADP Tempo inteiro US$90.000 - US$120.000 por ano

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

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