Fashion AI Solutions Engineer (Junior) em Porto, Portugal

Enhesa is seeking a Solutions Engineer to design and deliver automation, tools, and AI-enabled workflows that solve real business problems. You will prototype rapidly and deliver practical solutions in collaboration with stakeholders across the organization. Join a high-impact team focusing on scalable data platforms, APIs, ...

Alpineo Consulting is seeking an AI Engineer to apply Generative AI technologies to solve real-world challenges. You will design, prototype, and deploy production-ready AI solutions that improve business outcomes and accelerate innovation. Ideal candidates have hands-on GenAI and LLM experience, strong Python development ...

... looking for a highly qualified professional to join our AI Center of Excellence as a Senior AI Solutions Engineer (Copilot Studio, Power Platform & Generative AI) (d/m/f). In this role, you will design, build, and scale AI-powered agents, business applications, and automation solutions that address real business challenges ...

Metyis is growing! We are looking for a AI Solutions Engineer Analyst with 1-2 years of experience to join our Data and Analytics team at our Digital Campus in Porto. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing ...

KI performance is seeking a Forward Deployed Software Engineer to deliver end-to-end software solutions directly with customers. You will combine frontend and backend development with AI-enabled features, building production-grade applications and integrating enterprise systems while collaborating with cross-functional ...

Seeking a Senior AI Engineer to design, build, and deploy enterprise-grade AI applications using Generative AI, LLMs, and RAG on Azure and AWS. Responsibilities include mentoring junior engineers and ensuring scalable, secure AI solutions.

• Híbrido

90k

... stakeholders to translate business needs into scalable AI-enabled solutions. - Document systems and decisions clearly so teammates can understand, extend, and maintain your work. Experience Required: - 3+ years of professional experience in ML Engineering, Applied AI, Data Science, or related engineering roles with a clear ...

Metyis in Porto is growing. We are looking for an AI Architect with 3+ years of professional experience to join our Data and Analytics team in Porto. You will design and own the technical backbone for large-scale AI transformations, bridging cloud infrastructure, data engineering and applied AI, with direct architectural ...

• Remoto
• Híbrido
• Presencial

... ambitious group of people and we want you to join us. We are funded by leading VC investors such as Heavybit (investors in Snyk, LaunchDarkly, CircleCI, Netlify, Tailscale) and Deutsche Bank . About the Role As a Senior DevOps Solutions Engineer, you will work closely with customers and internal teams to design and implement ...

... We Offer: Quadrante, part of the Compass Group, is a global organization dedicated to developing economically optimized, sustainable, and technically robust solutions. We have recently expanded our international presence through the acquisition of the Meta Group, which includes Meta Engineering and Izharia in Spain, further ...

40k

... currently undergoing a strong growth, with mandates for the main projects under development in Portugal, intends to reinforce its Sustainability team in the ESG & Sustainability Department with the integration of a Junior Engineer in our Lisbon office. Key tasks/activities: - Building certification in sustainability. Requirements, ...

... in the banking sector, working with Azure Databricks and the broader Azure Data Platform. What you'll do - Develop, optimize and maintain data pipelines and solutions on Azure Databricks. - Work with SQL Server and other Azure Data Platform services to support data engineering needs. - Contribute to data engineering initiatives ...

• Híbrido

420k

... requirements and translate them into scalable technical solutions. - Contribute to solution architecture, technical design decisions and the definition of AI engineering https://jobeax.com/link/HRFQteuVAfBt7kNc evaluation, monitoring and observability capabilities to ensure the quality, reliability and performance of AI systems. ...

• Híbrido
• Presencial

9500

... production environments. You'll work closely with Data Scientists, Data Engineers, Cybersecurity, Compliance, and IT teams to deliver scalable, secure, and compliant AI services. What You'll Do - Deploy, monitor, and optimize ML, DL, LLM, and AI Agent solutions. - Build and maintain CI/CD pipelines for AI workloads. - Manage containerized ...

... future AI Center of Competence. - Support Stadler’s AI Strategy & Governance by translating technical, security, and compliance requirements into reliable solutions. - Develop and maintain AI DevOps standards, automation, deployment processes, and operational procedures for AI solutions. - Ensure operational excellence ...

... future AI Center of Competence. - Support Stadler’s AI Strategy & Governance by translating technical, security, and compliance requirements into reliable solutions. - Develop and maintain AI DevOps standards, automation, deployment processes, and operational procedures for AI solutions. - Ensure operational excellence ...

• Remoto

At Mindera, we believe in building software that improves lives. As a Senior AI Engineer for AI Systems you own the machinery that makes our accelerators reliable and reusable: the agent harness, orchestration, the platform-agnostic core, the evaluation infrastructure, and the observability that tells us whether a change ...

• Tempo integral

... architecture, and trade-offs. Able to mentor junior engineers effectively. - Participate in architecture reviews and technical design. - Active participation in daily stand-up meetings - Active participation in Peer Code Reviews as part of our standard SDLC and Change Candidate Profile - 10+ years software engineering experience ...

• Tempo integral

... aspects of popular machine learning practices, libraries, and platforms - such as the ones that allow serving and productionasing machine learning models. Acquaintance with CD4ML and MLOps, software design patterns and RESTful APIs. Main tech stack: Databricks, Spark, Airflow, MLflow, MLeap, Kafka, Delta Lake and Azure ...