Introdução
Claire Joster is currently recruiting for a reference client in the retail sector, which intends to strengthen its internal structure with the integration of a AI Architect (m/f).
Função
· Define and evolve the ML/AI architecture, ensuring scalability, reliability, and cost-effectiveness;
· Design and implement end-to-end ML/AI pipelines using Azure Machine Learning, Databricks, and—where relevant—tools outside the Azure ecosystem;
· Architect solutions to accelerate and strengthen LLM training, fine-tuning, and deployment, including prompt engineering, RAG (retrieval-augmented generation), and model evaluation;
· Ensure best practices in LLMOps, MLOps, CI/CD for ML models, monitoring, and governance;
· Provide technical leadership to cross-functional teams and mentor data scientists and AI engineers in architectural best practices;
· Continuously evaluate and research new AI/ML frameworks, tools, and platforms, inside and outside Azure, to improve our capabilities.
Requisitos
· 5+ years in data science, machine learning engineering, or AI architecture roles.
· Hands-on experience with Azure ML, Databricks, Azure Data Lake, and Azure Cognitive Services.
· Strong background in MLOps: model versioning, deployment, monitoring, CI/CD (MLflow, GitHub Actions, Azure DevOps).
· Knowledge of LLMOps practices.
· Proficiency in Python and ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.).
· Experience building and deploying LLMs: fine-tuning, serving, and integrating into business applications.
· Experience with Multi-Agent frameworks.
· Understanding of vector databases (Pinecone, Weaviate, FAISS, or Azure Cognitive Search for RAG).
· Strong problem-solving, system design, and stakeholder communication skills.
· Ability and motivation to research and experiment with new technologies autonomously.