AI Architect
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).
Role:
- Define and evolve the ML/AI architecture, ensuring scalability, reliability, and
- effectiveness;
- Design and implement
-
- 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,
- 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
- 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.
Requirements:
- 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, Git
Hub Actions, Azure Dev
Ops).
- Knowledge of LLMOps practices.
- Proficiency in Python and ML/AI frameworks (Py
Torch, Tensor
Flow, Hugging Face, Lang
Chain, etc. ).
- Experience building and deploying LLMs:
- 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
- solving, system design, and stakeholder communication skills.
- Ability and motivation to research and experiment with new technologies autonomously.
- Informações detalhadas sobre a oferta de emprego
Empresa: Claire Joster Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 2. 10. 2025
Vaga de emprego atual
Seja o primeiro a candidar-se à vaga de emprego oferecida!