Ai Solutions Engineer

Metyis; Almada; Presencial; EUR 70 000 - 120 000; Tempo integral

Resumo da oferta

Ovyo is seeking an AI Solutions Architect to design, develop and deploy scalable AI/ML solutions on Microsoft Azure, focusing on secure, high-performing architectures across the enterprise.

You will implement LLMs with LangChain or Hugging Face, build robust AI pipelines with MLOps (Azure DevOps, MLflow, AKS) and collaborate with data engineers, security teams and product owners.

Qualificações

• Bachelor's degree in Computer Science, Engineering or related field.
• Master's degree preferred.
• 5+ years hands-on Azure AI/ML deployment experience.
• Strong experience fine-tuning LLMs with LangChain or Hugging Face.
• Proficient in MLOps with Azure DevOps, MLflow and AKS.
• Experience integrating Azure Cognitive Services and REST/gRPC APIs into enterprise systems.

Responsabilidades

• Design, develop and deploy AI/ML solutions on Azure.
• Implement and fine-tune LLMs for conversational agents and RAG workflows.
• Build end-to-end AI pipelines with MLOps practices.
• Collaborate with Data Engineers, Solution Architects and IT Security to ensure scalable, secure AI implementations.
• Promote continuous improvement and responsible AI adoption through documentation and training.

Descrição da oferta de emprego

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).