Mais que Cloud Computing
Data Scientist
Location
Brazil
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
Data Scientist
Dedalus
• Develop and implement agentic AI solutions using agent-based architectures, multi-agent systems, and advanced language models. • Design autonomous agents capable of: - Planning and executing complex tasks; - Using external tools (tool calling); - Consuming APIs and integrating with various enterprise systems; - Making decisions based on context and defined objectives. • Build intelligent assistants and specialized agents for: - Implementing different RAG (Retrieval-Augmented Generation) strategies; - Process automation; - Decision support; - Generating insights and content; - Conversational interaction and customer-facing experiences. • Design and implement advanced GenAI pipelines including: - Different RAG (Retrieval-Augmented Generation) strategies; - Integration with structured and unstructured knowledge bases; - Contextual memory strategies and history management; - Use of vector databases and knowledge graphs. • Work with modern frameworks for developing intelligent agents such as: - LangChain; - LangGraph; - CrewAI; - AutoGen; - Semantic Kernel; - Other emerging frameworks. • Develop and implement LLMOps/AgentOps practices, including: - Monitoring; - Evaluation; - Observability; - Versioning; - Traceability; - Governance of models and agents. • Prototype Python applications integrated with AI services, automations, and cloud ecosystems. • Research and explore new architectures, techniques, and trends related to agentic AI and multimodal models. • Collaborate with data scientists, data engineers, developers, and stakeholders in multidisciplinary squads. • Document solutions, patterns, and learnings, contributing to the team’s technical evolution.
Job Requirements
- Hands-on experience in projects using Generative AI and Language Models (LLMs) (e.g., GPT, Claude, Llama, Gemini, among others).
- Experience developing intelligent agents or multi-agent systems.
- Advanced knowledge of Python.
- Experience with:
- RAG;
- Prompt engineering;
- Tool calling;
- Contextual memory;
- Conversational context management.
- Experience with agent and orchestration frameworks:
- LangChain;
- LangGraph;
- CrewAI;
- AutoGen;
- Semantic Kernel (or similar).
- Experience integrating with AI APIs and services:
- OpenAI;
- AWS Bedrock;
- Vertex AI;
- Azure AI;
- Hugging Face.
- Solid knowledge of:
- Machine Learning;
- Deep Learning;
- NLP;
- Recommender systems and information retrieval.
- Experience with LLMOps/AgentOps practices and production deployments.
- Nice to have:
- Experience with cloud environments (AWS, Azure, or GCP);
- Knowledge of platforms such as Databricks, Snowflake and modern data architectures;
- Experience with vector databases:
- Pinecone;
- Chroma;
- Weaviate;
- FAISS;
- OpenSearch;
- Knowledge of knowledge graphs and graph-based modeling;
- Experience building scalable applications and distributed architectures;
- Experience working in innovation squads and emerging technology projects;
- Intermediate/advanced Spanish.
Benefits
- Health insurance with coverage for legal dependents
- Meal and grocery allowance (Flash Benefícios)
- Telemedicine platform
- Dental plan
- Gym partnership (TotalPass)
- Pharmacy discount program
- Life insurance
- Private pension plan
- Childcare assistance
- Inclusion assistance
- Home office allowance
- Certification program
- Language program
- Educational partnerships
- Birthday day off
- Extended paternity and maternity leave
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