Solutions Engineer

Ovyo; Portugal; Presencial; EUR 60 000 - 80 000; Tempo integral

Resumo da oferta

A tech solutions company in Portugal is seeking an AI Solutions Architect to design and deploy advanced AI and ML solutions using Microsoft Azure. The ideal candidate will have over 5 years of experience and a strong background in MLOps practices. This role promotes innovative AI implementations and continuous improvement within the organization. Competitive compensation is offered.

Qualificações

• 5+ years of hands-on experience designing and deploying AI/ML solutions on Microsoft Azure.
• Proven expertise in fine-tuning and implementing LLMs using LangChain or Hugging Face.
• Strong MLOps proficiency with Azure DevOps and MLflow for pipeline automation.

Responsabilidades

• Design, develop and deploy AI, ML and Generative AI solutions using Azure ML.
• Implement and fine-tune Large Language Models for conversational agents.
• Build and maintain end-to-end AI pipelines with robust MLOps practices.

Conhecimentos

Design AI solutions

Implement ML solutions

Utilize Azure ML

Integrate APIs

Formação académica

Bachelor’s degree in Computer Science, Engineering or related field

Master’s degree preferred

Ferramentas

Azure ML

Databricks

Hugging Face

Azure DevOps

MLflow

Azure AI Foundry

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).

To apply for the role or for more information get in touch with the team at Ovyo at [e-mail].