Ai Solutions Engineer

Metyis; Lisboa; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

A Ovyo procura um AI Solutions Architect para projetar, desenvolver e manter soluções de IA/ML escaláveis na plataforma Microsoft Azure. O candidato ideal tem forte experiência em LLMs, LangChain ou Hugging Face, e práticas de MLOps com Azure DevOps, MLflow e AKS.

O papel envolve trabalhar com equipes de dados, arquitetura e segurança para garantir conformidade, interoperabilidade e impacto nos processos de negócio, promovendo IA responsável e documentação e formação contínuas.

Qualificações

• 5+ anos de experiência prática a desenhar e a colocar soluções AI/ML na Azure.
• Especialização em fine-tuning de LLMs com LangChain ou Hugging Face.
• Conhecimentos de MLOps com Azure DevOps, MLflow e AKS.

Responsabilidades

• Projetar, desenvolver e implantar soluções AI/ML no Azure.
• Aprimorar LLMs para agentes conversacionais, RAG e sumarização.
• Construir pipelines AI com MLOps (Azure DevOps, MLflow, AKS).
• Integrar serviços Cognitivos Azure e APIs REST/gRPC.
• Colaborar com equipes de dados, arquitetura e segurança.
• Promover IA responsável através de documentação e treinamento.

Conhecimentos

AI/ML design

Azure cloud

RAG / conversational AI

MLOps

REST/gRPC APIs

Formação académica

Bacharelado em Ciência da Computação ou área relacionada

Mestrado preferencial

Ferramentas

Azure DevOps

MLflow

AKS

Databricks

LangChain

Hugging Face

Azure OpenAI

Azure AI Foundry

Azure Cognitive Services

Descrição da oferta de emprego

Descrição do cargo

AI Solutions Architect About Ovyo

The AI Solution Engineer will be responsible for the design, development, deployment and maintenance of scalable, secure, and high-performing Artificial Intelligence (AI) and Machine Learning (ML) solutions on the Microsoft Azure platform.

This role contributes to improving company performance by optimizing and digitalizing business processes, driving efficiency and scalability through intelligent automation.

Job Summary

• Design, develop and deploy AI, ML and Generative AI solutions using Azure ML, Databricks, Azure OpenAI and Azure AI Foundry.
• Implement and fine-tune Large Language Models (LLMs) using frameworks such as LangChain or Hugging Face to support conversational agents, RAG workflows and summarization services.
• Build and maintain end-to-end AI pipelines with robust MLOps practices for deployment, monitoring and lifecycle management (Azure DevOps, MLflow, AKS).
• Integrate Azure Cognitive Services and API-based frameworks to enhance enterprise applications and ensure interoperability across systems.
• Collaborate with Data Engineers, Solution Architects and IT Security to ensure scalable, secure and compliant AI implementations.
• Promote continuous improvement and responsible AI adoption through documentation, training and cross-functional collaboration.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• Master's preferred.
• 5+ years of hands-on experience designing and deploying AI/ML solutions on Microsoft Azure (Azure ML, Databricks, Azure OpenAI, Azure AI Foundry).
• Proven expertise in fine-tuning and implementing LLMs using LangChain, Hugging Face or similar frameworks for RAG, conversational agents and summarization.
• Strong MLOps proficiency with Azure DevOps, MLflow and AKS for end-to-end pipeline automation, monitoring and lifecycle management.
• Experience integrating Azure Cognitive Services and REST/gRPC APIs into enterprise systems.
• Familiarity with secure, compliant AI practices (data governance, responsible AI, Azure Policy).