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¿Why Clicars? You will join the leading technology company in online car buying and selling that has broken all the rules of such a consolidated sector, using tools such as machine learning, data and algorithms to make the best decisions. Our IT department has become the heart of the entire company, since we work with an ecosystem of services that allows collaborative development to make work easier and more efficient and, consequently, generate a better customer experience. Mission We are looking for an SRE to join a very talented development team and actively participate in the evolution of our international projects and technological architecture. Our tasks have three layers: frontend, backend and infrastructure. Although the most used technologies are 100% typed PHP (version 8) and Angular, we also use others such as Python, VueJS and Node. We use both relational and non-SQL databases, cache layers, queues, websockets... We have multiple projects and we always choose the most appropriate technology for each need. We use docker containers and orchestrated architecture with kubernetes. We also place a lot of emphasis on good practices and the proper use of design patterns and software engineering principles. ¿What you will do here? Work hand in hand with development and the DevOps and SRE team to maintain a stable and efficient environment. Automate infrastructure processes using tools such as Terraform, Ansible. Manage server configuration and maintenance in GCP cloud environments Implement and maintain security and compliance policies to protect data and applications. Resolve technical problems related to infrastructure and software deployments. Document processes and create guides to ensure knowledge transfer within the team. Configure and maintain monitoring and alerting systems to ensure availability and performance of services. Design the company's cloud architecture and optimize its costs Drive DevOps culture among development teams ¿What we need? Essential: Linux proficiency Docker Kubernetes and Helm Cloud (GCP or Azure or AWS) Continuous Integration Tools (Jenkins, Gitlab CI) Monitoring tools (Prometheus, Grafana, Alertmanager) Good level of English (fluent) Valuable: Python Redis RabbitMQ SQL MongoDB ElasticSearch Ansible GCloud and GKE Networking PHP TDD and Continuous Integration Fluency in SOLID principles, design patterns and data structures Fluency in both Spanish and English is required. Gross annual salary: €50,000 to €65,000

¡En Fujitsu buscamos personas con talento! Fujitsu es la compañía líder japonesa en tecnología digital, de la información y comunicaciones, y uno de los cinco principales proveedores de estos servicios en el mundo. Contamos con más de 50 años de experiencia en la entrega de soluciones tecnológicas a clientes de todo el globo y somos más de 140.000 expertos con el propósito de crear un mundo más sostenible a través de la innovación. Somos una compañía que pone en valor la DIVERSIDAD y el TALENTO de TODOS; una empresa que reconoce los valores profesionales, la capacitación laboral y la pasión, independientemente de las diferentes capacidades de cada uno que, lejos de alejarnos, nos enriquecen.. ✔️¿Qué habilidades y experiencia requerimos de ti? • Experiencia de al menos 3 años en funciones relacionadas con el puesto., • Grado en Ingeniería de Matemáticas, Física , Telecomunicación, Industrial, Informática o similares., • Experiencia en consultoría de proyectos de datos, técnica y/o funcional en empresas del sector., • Experiencia en diseño e implementación de soluciones de Machine Learning (desde el análisis exploratorio hasta la puesta en producción)., • Conocimiento práctico de herramientas y plataformas de IA y datos: Azure, Databricks, Google, Amazon, etc., • Experiencia valorable en el diseño de soluciones de IA Generativa., • Familiaridad con arquitecturas de nube pública o privada., • Perfil analítico, con pensamiento crítico y orientación a resultados., • Capacidad para gestionar proyectos y resolver problemas en entornos exigentes., • Buenas habilidades interpersonales y capacidad de empatía., • Ingles B2+ ✔️Además valoramos... • Máster en tecnologías asociadas a la analítica de datos o inteligencia artificial., • Certificaciones: tecnologías, nubes, lenguajes de programación, etc., • Persona proactiva, organizada y con alto nivel de autoexigencia. ✔️ ¿Qué te ofrecemos? • Contratación indefinida., • Ayuda de comida., • Plan de Compensación Flexible (seguro médico, guardería, transporte, formación)., • Seguro de vida y accidentes., • Carrera profesional en una multinacional líder en su sector., • Empresa con sólida cultura organizacional., • Licencia Linkedin Learning y otras plataformas formativas. ¡Y muchísimos beneficios más! ¿Y por qué Fujitsu? • La consultora independiente Whitelane Research y la consultora de estrategia Quint, en su estudio sobre el outsourcing de servicios IT en España 2022 ha situado a Fujitsu como líder en el nuevo indicador de Ciberseguridad y como líder en el indicador Business Understanding., • Fujitsu se encuentra en el top 10 de proveedores de Servicios a nivel mundial., • Fujitsu atesora unas 97.000 patentes en todo el mundo., • Fujitsu figura en Dow Jones Sustainability Indexes (World), FTSE4Good Index Series, y en Oekom research., • La revista FORTUNE ha nombrado a Fujitsu como una de las Compañías del mundo más admiradas cuatro veces consecutivas desde 2012.

📝Some details about your department At Making Science, we are launching Awaken, our innovation hub where we build new technology-driven solutions from scratch. Awaken brings together engineers, researchers, and innovators to turn bold ideas into real, AI-powered products. We are looking for Mobile Applications Engineers who enjoy building iOS and Android apps that integrate cutting-edge AI models, rapidly prototype ideas, and bring innovative solutions to life. 🎯 What we’d like you to do • Develop and maintain mobile applications for iOS and Android, using native (Swift, Kotlin) or cross-platform frameworks (Flutter, React Native)., • Collaborate with AI Engineers to integrate predictive and generative AI models into mobile apps., • Design user-friendly interfaces and experiences for experimental AI-driven products., • Build APIs and backend integrations to support AI-powered functionality., • Rapidly prototype ideas and help transform them into scalable, production-ready mobile solutions., • Experiment with emerging technologies in mobile development and AI applications. 🔊 What we’d like you to bring • Experience building native iOS (Swift) and/or Android (Kotlin/Java) applications., • Experience with cross-platform frameworks like Flutter or React Native is a plus., • Familiarity with RESTful APIs, GraphQL, cloud services (AWS, GCP, Azure)., • Knowledge of integrating AI models or SDKs into mobile applications is a plus., • Passion for experimenting, prototyping, and solving complex problems creatively., • Ability to work in a fast-paced, innovation-driven environment, starting projects from scratch., • Strong collaboration skills to work with AI engineers, product designers, and other stakeholders. Nice to have: • Experience working in product-based companies., • Knowledge of or experience in Digital Marketing companies., • Experience building and deploying applications using Docker and Google Cloud. ✔️Perks of joining us We give you complete stability with an indefinite job contract. We offer a fixed salary according to your worth and experience, plus a performance based bonus. Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance). Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they’re hired! Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model. We care about a healthy work-life balance. You can count on having flexible working hours and one day a week where you can work from home. You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more. Pack your bags! You’ll have 23 vacation days, plus 24th, 31st of December and San Publicito are off, and we have afternoons off on the eve of national holidays. Work comfortably and follow your own style, because we don’t have a dress code. We know how to have a good time! Never go hungry with our free daily fruit and our vending machine card! Take a break on our terrace, play foosball, darts, or PlayStation Be a part of a young, adventurous, and professional team, with people you’ll grow fond of! About Making Science Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We’ve joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success. Do you want to be part of this great family?

AI Engineer – Azure | Remote – Spain About MDW MDW is a leading consulting company specialized in Data, AI and BizApps, with offices in Geneva and Madrid. Recognized as Microsoft Partner of the Year with multiple awards, we support major organizations in transforming their business through Azure, Microsoft Fabric, Databricks, and AI technologies. Your Role We are seeking an AI Engineer to join our expanding team and contribute to innovative AI projects built on the Azure Cloud. You will work closely with clients and internal experts to design, develop, and deploy end-to-end AI solutions that solve real business challenges. What You Will Do • Design and deliver AI solutions on Azure, including Machine Learning and Generative AI use cases, • Develop and manage the end-to-end lifecycle of ML models, applying MLOps best practices, • Collaborate with business and technical stakeholders to translate needs into scalable AI solutions, • Contribute to AI proposals and support pre-sales activities from a technical perspective, • Build production-ready solutions using modern development and DevOps practices, • Stay up-to-date with emerging AI technologies and actively experiment with new tools and approaches What We Value • Strong AI background within Azure Cloud (ML, Computer Vision, NLP, Generative AI), • Hands-on experience with Azure services such as Azure Machine Learning, Azure AI Search, Cognitive Services, Azure Functions and Web Apps, • Experience with MLOps and model lifecycle management, • Strong programming skills, preferably in Python, • Knowledge of DevOps practices (CI/CD, IaC) and containerization (Docker), • Consulting mindset with experience working directly with stakeholders, • Strong organizational, communication and time-management skills, • Result-oriented and customer-focused approach, • Fluent in Spanish and English Nice to Have • Experience working in Agile environments, • Experience with Azure DevOps for project tracking and collaboration, • Knowledge of Azure Data Platform (Synapse, Databricks, Data Factory, Data Lake Gen2), • Experience with MLflow, • Azure and/or Databricks certifications Why MDW? • Work on cutting-edge Data & AI projects with leading clients, • International and collaborative consulting environment, • Continuous learning within the Microsoft ecosystem, • Flexible work model (Hybrid/Remote in Spain), • Competitive compensation based on experience, • 6 weeks of holidays

ALTEN is a leading technology consulting and engineering company, present in more than 30 countries and with more than 57,000 professionals worldwide. In Spain, we work alongside companies and public bodies to develop innovative solutions that drive digital transformation and operational efficiency. Role Overview As an AI Expert at Alten, you will provide technical leadership and expertise across consulting engagements, pre-sales activities, and project delivery. You will guide clients and internal teams through the full AI lifecycle, from use case identification to industrialization, while ensuring alignment with best practices and emerging technologies. Global Responsibilities • Deliver consulting support, pre-sales support, and project delivery for AI-related initiatives., • Act as a trusted advisor for clients and internal teams on AI strategy, architecture, and implementation., • Contribute to the growth of Alten’s AI practice through innovation, knowledge sharing, and recruitment. Consulting & Pre-Sales • Support sales teams during opportunity qualification, RFP responses, and client meetings for AI-related scopes., • Assist in qualifying opportunities and responding to RFPs for AI-related scopes., • Support sales teams during client meetings and proposal preparation. Project Delivery • Lead use case qualification during audits and assessments., • Prepare and share audit reports, including technical solutions, cost estimates, and ROI analysis., • Act as a technical advisor for POCs and industrialization phases., • Participate in POC development when technically required., • Ensure reuse of Alten AI “Accelerators” and compliance with data and technical standards. Innovation & Evangelization • Maintain continuous awareness of AI trends and emerging technologies., • Design and build demonstrators when needed, showcasing Alten’s AI capabilities., • Represent Alten at industry events, conferences, and webinars., • Conduct workshops and client committees to promote AI adoption. Internal Contributions • Share best practices and technical knowledge across teams., • Support skill development and training initiatives for consultants., • Participate in recruitment and mentoring of AI talent. Required Qualifications • Master’s degree (or equivalent) in Computer Science, Data Science, or related field., • At least 5 years of experience delivering AI projects (ML, DL, NLP, CV, etc.)., • Strong expertise in one or more AI-related languages, frameworks, and tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn, PySpark, LangChain, HuggingFace, etc.)., • Ability to act as technical advisor or tech lead for Data Scientists teams. Valued Skills • Experience with one or more cloud environments (Azure, AWS, GCP) and associated AI services (e.g., Azure AI Foundry, Microsoft Fabric, AWS Sagemaker, AWS Bedrock, Vertex AI)., • Hands-on experience with Generative AI (e.g. LLM, Multimodal LLM, RAG, etc.)., • Previous experience in consulting or IT services companies (ESN)., • Knowledge of MLOps/LLMOps principles (CI/CD, monitoring, etc.)., • Fundamental knowledge of data governance, security, and compliance in AI projects. Soft Skills • Excellent communication and presentation skills for client-facing interactions., • Strong problem-solving mindset and adaptability in fast-changing environments., • Ability to work collaboratively in cross-functional teams and worldwide environments. Typical Technical Environment for Information Only • AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, • Generative AI & LLM Tools: OpenAI APIs, LangChain, RAG frameworks, • Cloud Platforms & Services: Azure (Machine Learning, Cognitive Services, Azure AI Foundry), AWS (SageMaker, Bedrock), GCP (Vertex AI), • MLOps & Deployment Tools: MLflow, Kubeflow, Docker, Kubernetes This role requires availability to travel across Spain.

Senior MLOps Engineer Location: Remote from Spain (Spanish employment contract) We are looking for a skilled and experienced MLOps Engineer with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will play a crucial role in developing and maintaining the infrastructure and processes required for deploying and managing machine learning models in production. Requirements: • Master or higher degree in Computer Science, Engineering, or a related field., • 5+ years of professional experience in MLOps, machine learning engineering, or a similar role., • Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research., • Strong communication and interpersonal skills to collaborate effectively with cross-functional teams., • Strong programming skills in languages such as Python or Rust., • Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment., • Experience with cloud AI services (AWS / Azure / GCP), • Experience managing and deploying model registry and feature store technologies., • Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)., • Experience working with containerization technologies such as Docker and Kubernetes., • Experience putting Deep Learning models into production with frameworks such as Pytorch or Tensorflow., • Experience developing REST APIs using frameworks such as FastAPI or similar., • Experience developing GenAI agents using libraries such as LangChain or similar., • Experience in evaluating LLM agents, LLM observability, and agent memory management., • Experience with infrastructure-as-code (IaC) tools such as Terraform., • At least B2 level of English. Nice to have: • Experience of deploying LLM models on premise, • GCP Professional Machine Learning Engineer certification (not older than a year), • Experience with data science projects, • Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom Responsibilities: • Execution and guidance of technical POCs and projects, • Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field, • Cooperating on presales and upsales with rest of the team, • Participating in public speaking events Why this position: At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

AI Engineer (Generative AI & Agentic Systems) – 100% Remote We are looking for a hands-on AI Engineer to join a fast-growing, international tech company and work on cutting-edge Generative AI solutions and intelligent agentic systems. This is not a research role — we’re looking for someone who builds, deploys, and scales real AI products. What you’ll do • Design and build end-to-end Generative AI solutions, • Develop AI agents and RAG (Retrieval-Augmented Generation) pipelines, • Work closely with cross-functional teams to deliver scalable AI systems, • Build and validate PoCs and production-ready solutions, • Stay up to date with the latest trends in GenAI and agentic frameworks What we’re looking for • 3+ years of experience in Applied AI / Machine Learning (industry), • Strong background in Software Engineering (Python preferred), • Hands-on experience building:, • GenAI applications, • RAG pipelines, • Agent-based systems, • Experience with frameworks such as:, • LangChain / LangGraph, • Google Agent Development Kit (ADK), • or similar, • Experience with cloud platforms (AWS, GCP, or Azure), • Strong communication skills and a builder mindset Nice to have • Experience with Vertex AI, Gemini, or similar tools, • Knowledge of evaluation frameworks (RAGAs, LangSmith), • Experience with Docker / Kubernetes, • Familiarity with CI/CD and MLOps practices What we offer • 100% remote within Europe, • Flexible working model, • International and collaborative environment, • Career growth and continuous learning opportunities Salary: Competitive, depending on experience If you're a Software Engineer with real hands-on experience in GenAI, and you enjoy building impactful AI solutions — let’s talk! Feel free to reach out or apply directly.

AI Consultant Location: Remote from Spain (an indefinite Spanish employment contract) Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias' mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. Requirements: • 5+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems, • Proficient Python and strong software engineering principles, • Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform), • Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment, • Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders, • Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability, • Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP), • Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop), • Process automation and enterprise integrations, • Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders' leadership, • Master or higher degree in Computer Science, Engineering, or related field, • On-prem LLM deployments; performance and cost tuning with caching and model routing, • AI safety, policy, and compliance experience in sensitive environments, • Public speaking and enablement and building reusable accelerators 1. Architecture Review & Production Readiness Assessment • Evaluate AI/ML and LLM solution architectures to ensure they are scalable, secure, and aligned with enterprise patterns., • Assess MLOps/LLMOps pipelines, model serving infrastructure, data flows, and integration points., • Identify architectural risks or gaps and propose mitigation strategies. 2. Compliance & Standards Validation • Verify that all AI development activities follow JTI’s internal development standards, documentation rules, and operational guidelines., • Ensure compliance with model governance, lifecycle management, versioning, and traceability requirements., • Check adherence to security, privacy, and data handling policies. 3. Technical Quality Assurance • Perform in‑depth technical code reviews, configuration reviews, and environment checks., • Validate model performance metrics, evaluation methodology, drift controls, and monitoring strategies., • Review model explainability, responsible‑AI controls, and risk assessment outputs. 4. Pre‑Deployment Validation • Conduct formal readiness reviews before solutions are promoted to production., • Provide clear recommendations for required fixes, improvements, or optimization., • Approve or block deployment based on technical quality and compliance. 5. Documentation & Reporting • Produce detailed review reports summarizing findings, gaps, and actionable guidance., • Maintain traceability of assessments across multiple projects throughout 2026. 6. Cross‑Team Collaboration • Collaborate with engineering, data science, architecture, and product teams to clarify requirements and ensure alignment., • Participate in technical workshops and solution walkthroughs. 7. Advisory & Best Practices Enablement • Advise teams on AI/ML and LLM best practices, including architecture, operations, MLOps, evaluation, and productionization., • Help standardize review processes and improve internal frameworks when needed.

AI Engineer – Madrid Location: Madrid, Spain Salary: Up To €110,000 Hiring on behalf of: A confidential, high‑growth technology & consulting organisation We’re partnering with a leading international client that is building a brand‑new centre of excellence in Madrid and looking to hire exceptional AI Engineers who are passionate about solving complex problems, building cutting‑edge AI solutions, and shaping the foundations of a world‑class engineering culture. If you thrive in fast‑paced, intellectually demanding environments and want to work on high‑impact initiatives from day one, this opportunity could be the perfect fit. About Our Client Our client is a newly formed, high‑profile technology venture backed by two globally recognised organisations. Their mission is to bring together top technical talent to deliver AI‑driven, commercially meaningful solutions across multiple business domains. This is a rare chance to join at an early stage and help shape both the technical direction and team culture as the organisation grows. Culture & Ways of Working While the team is new, certain principles are non‑negotiable: • Hiring exceptional technical talent with outstanding communication skills, • Deep collaboration between engineers, product teams, and business stakeholders, • Curiosity, positivity, and a passion for learning, • Ownership, accountability, and pride in delivery, • Problem‑solvers who thrive when working at pace, • A focus on practical, real‑world impact — not just building models This is an environment for people who want to push boundaries and elevate the standard of what AI teams can deliver. Responsibilities As an AI Engineer, you will: • Take end‑to‑end ownership of AI‑centric technical products and projects, • Build and deploy machine learning systems that address real‑world commercial challenges, • Translate business problems into well‑framed AI opportunities, • Challenge existing processes to drive innovation and improve outcomes, • Stay up to date with fast‑moving AI advancements, • Make an immediate impact — you will be trusted and empowered from day one What Our Client Is Looking For We are seeking candidates with strong theoretical grounding AND hands‑on experience: • Deep understanding of machine learning fundamentals, • Experience deploying LLMs in production (prompting, agent workflows, retrieval pipelines, evals, etc.), • Knowledge of LLM inference techniques (KV caching, speculative/parallel decoding, etc.), • Strong programming skills in Python + one of C++, Java or .NET, • SQL experience, • Experience with Azure or AWS, • Excellent communication and stakeholder engagement skills, • An entrepreneurial mindset with a bias for action, • Ability to manage AI projects end‑to‑end, • Financial services experience is a plus (not essential), • Degree in Computer Science, Mathematics, Engineering, or similar from a reputable university Why This Role Stands Out • Work with cutting‑edge AI technologies and help shape the technical roadmap, • Immediate influence and ownership of impactful projects, • Collaborate with some of the brightest talent in Europe, • Projects tied to real‑world events, markets, and emerging trends, • Direct exposure to senior stakeholders and domain experts, • Opportunity to help define a new team, new culture, and new standards

📝Some details about your department At Making Science, we are launching Awaken, our innovation hub where we build new technology-driven solutions from scratch. Awaken brings together engineers, researchers, and innovators to turn bold ideas into real, AI-powered products. We are looking for Mobile Applications Engineers who enjoy building iOS and Android apps that integrate cutting-edge AI models, rapidly prototype ideas, and bring innovative solutions to life. 🎯 What we’d like you to do • Develop and maintain mobile applications for iOS and Android, using native (Swift, Kotlin) or cross-platform frameworks (Flutter, React Native)., • Collaborate with AI Engineers to integrate predictive and generative AI models into mobile apps., • Design user-friendly interfaces and experiences for experimental AI-driven products., • Build APIs and backend integrations to support AI-powered functionality., • Rapidly prototype ideas and help transform them into scalable, production-ready mobile solutions., • Experiment with emerging technologies in mobile development and AI applications. 🔊 What we’d like you to bring • Experience building native iOS (Swift) and/or Android (Kotlin/Java) applications., • Experience with cross-platform frameworks like Flutter or React Native is a plus., • Familiarity with RESTful APIs, GraphQL, cloud services (AWS, GCP, Azure)., • Knowledge of integrating AI models or SDKs into mobile applications is a plus., • Passion for experimenting, prototyping, and solving complex problems creatively., • Ability to work in a fast-paced, innovation-driven environment, starting projects from scratch., • Strong collaboration skills to work with AI engineers, product designers, and other stakeholders. Nice to have: • Experience working in product-based companies., • Knowledge of or experience in Digital Marketing companies., • Experience building and deploying applications using Docker and Google Cloud. ✔️Perks of joining us We give you complete stability with an indefinite job contract. We offer a fixed salary according to your worth and experience, plus a performance based bonus. Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance). Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they’re hired! Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model. We care about a healthy work-life balance. You can count on having flexible working hours and one day a week where you can work from home. You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more. Pack your bags! You’ll have 23 vacation days, plus 24th, 31st of December and San Publicito are off, and we have afternoons off on the eve of national holidays. Work comfortably and follow your own style, because we don’t have a dress code. We know how to have a good time! Never go hungry with our free daily fruit and our vending machine card! Take a break on our terrace, play foosball, darts, or PlayStation Be a part of a young, adventurous, and professional team, with people you’ll grow fond of! About Making Science Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We’ve joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success. Do you want to be part of this great family?

NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate: telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare. Our mission? To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future. Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world. What are we looking for? We are looking for people specialized in AI, specifically as an architect. As an AI Architect at NTT DATA, you will be the technical visionary and hands-on leader responsible for defining, designing, and guiding the implementation of enterprise-grade AI and generative AI solutions. You will collaborate closely with data engineers, ML engineers, cloud architects, and business stakeholders to translate strategic objectives into scalable, secure, and maintainable AI systems. Your day-to-day will focus on: • Architect end-to-end AI and generative AI platforms, covering data ingestion, modeling, deployment, monitoring, and governance., • Provide guidance and best practices for model development, MLOps workflows, and infrastructure automation., • Design secure, cost-effective deployments on public cloud providers (Azure, AWS, or GCP), leveraging native AI/ML services as appropriate., • Define and maintain IaC pipelines (e.g., Terraform) to provision and manage cloud resources consistently and reproducibly., • Establish CI/CD pipelines for model versioning, automated testing, and continuous monitoring using tools like MLflow (or equivalent)., • Containerize services and models with Docker; design orchestration patterns (Kubernetes, ECS, etc.) to support scalable inference., • Drive adoption of coding standards, security best practices, and data privacy controls across AI projects., • Partner with stakeholders—data scientists, data engineers, cybersecurity, and business units—to ensure alignment with organizational goals., • Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies. Why would we like to meet you? We'd love to meet you if: • Proven experience designing production-grade AI and generative AI solutions at scale., • Hands-on experience deploying machine learning workloads on Azure, AWS, or Google Cloud Platform., • Familiarity with cloud-native AI services (e.g., Azure AI Foundry, AWS SageMaker/Bedrock, Google Vertex AI)., • Proficient in Python, with deep knowledge of AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face)., • Demonstrable experience using Terraform (or equivalent) to define and manage cloud infrastructure., • Practical experience with MLflow or similar platforms to operationalize ML workflows., • Solid understanding of Docker; experience with Kubernetes or other container orchestration systems is a plus., • Excellent command of English (C1–C2 level), with the ability to articulate complex technical concepts to diverse audiences., • Must be based in Spain. We value knowledge in: • Master’s degree in Computer Science, Engineering, Data Science, or related field., • Experience in Agile/Scrum environments and collaborating with remote teams., • Background in consulting or client-facing AI delivery projects. What do we offer? At NTT DATA, we offer: • Career development: an individualized and mentored career plan for both your personal and professional life., • Training tailored to your needs and preferences. Through our Corporate University, you can complete certifications, language courses, management skills, and technical courses, and access Udemy., • Great team: work in a positive team environment where you can learn from others and they from you., • Flexibility and work-life balance: a hybrid work environment and flexible hours., • Cutting-edge projects: the opportunity to work on high-priority projects for leading companies in Spain and Europe., • The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies., • Competitive salary commensurate with experience., • Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance. Interested? If you're ready to shape the future of generative AI with us, apply today! Because #Greattech, needs #GreatPeople, like you.

¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales? En STRATESYS estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti. Estamos buscando un perfil de AI Engineer para incorporarse a nuestro equipo dentro del departamento de Innovation&AI: ¿Qué harás en tu día a día?: • Construir pipelines de datos para ingesta, limpieza, transformación y extracción de features., • Participar en el diseño, entrenamiento, evaluación y validación de modelos de ML y soluciones basadas en LLMs., • Colaborar en la definición de métricas técnicas y de negocio (precisión, grounding, coste, latencia, éxito de tareas)., • Implementar agentes basados en LLMs utilizando frameworks como LangChain, Semantic Kernel, AutoGen o equivalentes., • Diseñar agentes capaces de interactuar con herramientas, APIs internas, workflows empresariales y bases de conocimiento., • Participar en la construcción de RAG agents, agentes especializados por dominio, agentes de planificación y agentes orquestadores., • Diseñar y refinar prompt flows, memoria contextual y estrategias de control para mejorar fiabilidad y trazabilidad, • Contribuir al diseño de guardrails, validaciones y mecanismos de Human-in-the-Loop., • Medir y analizar el comportamiento de los agentes: desviaciones de instrucciones, errores, costes, latencia y robustez.., • Colaborar en despliegues en entornos cloud (Azure, AWS o GCP)., • Apoyar tareas de monitorización, logging y observabilidad de modelos y agentes (drift, fallos, degradación)., • Mantener documentación técnica, notebooks reproducibles y artefactos de proyecto. ¿Qué buscamos?: • Conocimientos sólidos en Python, Git y buenas prácticas de desarrollo., • Bases de machine learning y LLMs: modelos generativos, métricas y experimentación., • Conocimientos iniciales de RAG, embeddings y bases vectoriales (FAISS, Azure AI Search, Pinecone o similares)., • Familiaridad con frameworks de agentes o motivación clara por profundizar en Agentic Systems., • Experiencia básica en APIs, Docker, testing y CI/CD., • Capacidad analítica, orientación a calidad y aprendizaje continuo. ¿Qué valoramos?: • Experiencia o conocimientos en Azure ML, Azure OpenAI o Databricks., • Front-end ligero para demos (React / Next.js + TypeScript)., • Nociones de arquitecturas multi-agente, planificación y enrutado avanzado de herramientas., • Principios de Responsible AI, privacidad, mitigación de sesgos y control de riesgos. Qué ofrecemos: ✨Crecimiento profesional: Oportunidad de liderar iniciativas estratégicas en un entorno dinámico. 📚 Formación continua con certificaciones técnicas. 🩺 Retribución flexible (seguro médico privado, tarjeta restaurant, ayuda al transporte, cheques de guardería) 🎁 Descuentos comerciales exclusivos. 🗣️ Plataforma gratuita de idiomas (Inglés, Francés, Alemán, Portugués, Chino...) ☀️Jornada intensiva de julio y agosto y viernes durante todo el año. 💼Evaluaciones anuales en las que se determinará tu plan de carrera así como formación personalizada en base a tu experiencia y preferencias. -Posibilidad de teletrabajo. Sobre nosotros: • Somos un hub nativo digital entre Europa y América, con la misión de transformar el negocio de nuestros clientes, orientando sus inversiones tecnológicas hacia el futuro y mejorando sus cuentas de resultados, ingresos y valor. Contamos con una valiosa experiencia en múltiples campos como telecomunicaciones, energía, construcción, consumo, retail, transportes, farmacia, banca, sanidad, turismo…, • Nuestra oferta multiplataforma, adaptada a cada industria, nos permiten definir, implementar y evolucionar estrategias tecnológicas y digitales únicas en cada sector en el que operan nuestros clientes., • 1ª firma experta en SAP con triple certificación ISO 9001 20015, ISO/IEC 33000 y ISO/IEC 27001 y única compañía en España con Nivel 4 de madurez en ISO/IEC 3300., • Contamos con una presencia fuerte y consolidada en Europa y América, apoyada en un equipo de 1.800+ profesionales desplegados a lo largo de nuestra extensa red de oficinas y centros global shore’ localizados a uno y otro lado del Atlántico. Esta ventaja competitiva nos posiciona como un proveedor global con visión de ‘hub’ entre ambos continentes, compañero de viaje de referencia para acompañar las inversiones tecnológicas y la expansión de compañías con operaciones en Europa y América.

AI Engineer – Madrid Location: Madrid, Spain Salary: Up To €110,000 Hiring on behalf of: A confidential, high‑growth technology & consulting organisation We’re partnering with a leading international client that is building a brand‑new centre of excellence in Madrid and looking to hire exceptional AI Engineers who are passionate about solving complex problems, building cutting‑edge AI solutions, and shaping the foundations of a world‑class engineering culture. If you thrive in fast‑paced, intellectually demanding environments and want to work on high‑impact initiatives from day one, this opportunity could be the perfect fit. About Our Client Our client is a newly formed, high‑profile technology venture backed by two globally recognised organisations. Their mission is to bring together top technical talent to deliver AI‑driven, commercially meaningful solutions across multiple business domains. This is a rare chance to join at an early stage and help shape both the technical direction and team culture as the organisation grows. Culture & Ways of Working While the team is new, certain principles are non‑negotiable: Hiring exceptional technical talent with outstanding communication skills Deep collaboration between engineers, product teams, and business stakeholders Curiosity, positivity, and a passion for learning Ownership, accountability, and pride in delivery Problem‑solvers who thrive when working at pace A focus on practical, real‑world impact — not just building models This is an environment for people who want to push boundaries and elevate the standard of what AI teams can deliver. Responsibilities As an AI Engineer, you will: Take end‑to‑end ownership of AI‑centric technical products and projects Build and deploy machine learning systems that address real‑world commercial challenges Translate business problems into well‑framed AI opportunities Challenge existing processes to drive innovation and improve outcomes Stay up to date with fast‑moving AI advancements Make an immediate impact — you will be trusted and empowered from day one What Our Client Is Looking For We are seeking candidates with strong theoretical grounding AND hands‑on experience: Deep understanding of machine learning fundamentals Experience deploying LLMs in production (prompting, agent workflows, retrieval pipelines, evals, etc.) Knowledge of LLM inference techniques (KV caching, speculative/parallel decoding, etc.) Strong programming skills in Python + one of C++, Java or .NET SQL experience Experience with Azure or AWS Excellent communication and stakeholder engagement skills An entrepreneurial mindset with a bias for action Ability to manage AI projects end‑to‑end Financial services experience is a plus (not essential) Degree in Computer Science, Mathematics, Engineering, or similar from a reputable university Why This Role Stands Out Work with cutting‑edge AI technologies and help shape the technical roadmap Immediate influence and ownership of impactful projects Collaborate with some of the brightest talent in Europe Projects tied to real‑world events, markets, and emerging trends Direct exposure to senior stakeholders and domain experts Opportunity to help define a new team, new culture, and new standards

AI Engineer – Madrid Location: Madrid, Spain Salary: Up To €110,000 Hiring on behalf of: A confidential, high‑growth technology & consulting organisation We’re partnering with a leading international client that is building a brand‑new centre of excellence in Madrid and looking to hire exceptional AI Engineers who are passionate about solving complex problems, building cutting‑edge AI solutions, and shaping the foundations of a world‑class engineering culture. If you thrive in fast‑paced, intellectually demanding environments and want to work on high‑impact initiatives from day one, this opportunity could be the perfect fit. About Our Client Our client is a newly formed, high‑profile technology venture backed by two globally recognised organisations. Their mission is to bring together top technical talent to deliver AI‑driven, commercially meaningful solutions across multiple business domains. This is a rare chance to join at an early stage and help shape both the technical direction and team culture as the organisation grows. Culture & Ways of Working While the team is new, certain principles are non‑negotiable: Hiring exceptional technical talent with outstanding communication skills Deep collaboration between engineers, product teams, and business stakeholders Curiosity, positivity, and a passion for learning Ownership, accountability, and pride in delivery Problem‑solvers who thrive when working at pace A focus on practical, real‑world impact — not just building models This is an environment for people who want to push boundaries and elevate the standard of what AI teams can deliver. Responsibilities As an AI Engineer, you will: Take end‑to‑end ownership of AI‑centric technical products and projects Build and deploy machine learning systems that address real‑world commercial challenges Translate business problems into well‑framed AI opportunities Challenge existing processes to drive innovation and improve outcomes Stay up to date with fast‑moving AI advancements Make an immediate impact — you will be trusted and empowered from day one What Our Client Is Looking For We are seeking candidates with strong theoretical grounding AND hands‑on experience: Deep understanding of machine learning fundamentals Experience deploying LLMs in production (prompting, agent workflows, retrieval pipelines, evals, etc.) Knowledge of LLM inference techniques (KV caching, speculative/parallel decoding, etc.) Strong programming skills in Python + one of C++, Java or .NET SQL experience Experience with Azure or AWS Excellent communication and stakeholder engagement skills An entrepreneurial mindset with a bias for action Ability to manage AI projects end‑to‑end Financial services experience is a plus (not essential) Degree in Computer Science, Mathematics, Engineering, or similar from a reputable university Why This Role Stands Out Work with cutting‑edge AI technologies and help shape the technical roadmap Immediate influence and ownership of impactful projects Collaborate with some of the brightest talent in Europe Projects tied to real‑world events, markets, and emerging trends Direct exposure to senior stakeholders and domain experts Opportunity to help define a new team, new culture, and new standards

Hands-on experience deploying machine learning workloads on Azure, AWS, or Google Cloud Platform. Azure AI Foundry, AWS SageMaker/Bedrock, Google Vertex AI).

AI Engineer (Generative AI & Agentic Systems) – 100% Remote We are looking for a hands-on AI Engineer to join a fast-growing, international tech company and work on cutting-edge Generative AI solutions and intelligent agentic systems . This is not a research role — we’re looking for someone who builds, deploys, and scales real AI products . What you’ll do • Design and build end-to-end Generative AI solutions • Develop AI agents and RAG (Retrieval-Augmented Generation) pipelines • Work closely with cross-functional teams to deliver scalable AI systems • Build and validate PoCs and production-ready solutions • Stay up to date with the latest trends in GenAI and agentic frameworks What we’re looking for • 3+ years of experience in Applied AI / Machine Learning (industry) • Strong background in Software Engineering (Python preferred) • Hands-on experience building: • GenAI applications • RAG pipelines • Agent-based systems • Experience with frameworks such as: • LangChain / LangGraph • Google Agent Development Kit (ADK) • or similar • Experience with cloud platforms (AWS, GCP, or Azure) • Strong communication skills and a builder mindset Nice to have • Experience with Vertex AI, Gemini, or similar tools • Knowledge of evaluation frameworks (RAGAs, LangSmith) • Experience with Docker / Kubernetes • Familiarity with CI/CD and MLOps practices What we offer • 100% remote within Europe • Flexible working model • International and collaborative environment • Career growth and continuous learning opportunities Salary: Competitive, depending on experience If you're a Software Engineer with real hands-on experience in GenAI , and you enjoy building impactful AI solutions — let’s talk! Feel free to reach out or apply directly.

¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales? En STRATESY S estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti. Estamos buscando un perfil de AI Engineer para incorporarse a nuestro equipo dentro del departamento de Innovation&AI: ¿Qué harás en tu día a día?: Construir pipelines de datos para ingesta, limpieza, transformación y extracción de features. Participar en el diseño, entrenamiento, evaluación y validación de modelos de ML y soluciones basadas en LLMs. Colaborar en la definición de métricas técnicas y de negocio (precisión, grounding, coste, latencia, éxito de tareas). Implementar agentes basados en LLMs utilizando frameworks como LangChain, Semantic Kernel, AutoGen o equivalentes. Diseñar agentes capaces de interactuar con herramientas, APIs internas, workflows empresariales y bases de conocimiento. Participar en la construcción de RAG agents, agentes especializados por dominio, agentes de planificación y agentes orquestadores. Diseñar y refinar prompt flows, memoria contextual y estrategias de control para mejorar fiabilidad y trazabilidad Contribuir al diseño de guardrails, validaciones y mecanismos de Human-in-the-Loop. Medir y analizar el comportamiento de los agentes: desviaciones de instrucciones, errores, costes, latencia y robustez.. Colaborar en despliegues en entornos cloud (Azure, AWS o GCP). Apoyar tareas de monitorización, logging y observabilidad de modelos y agentes (drift, fallos, degradación). Mantener documentación técnica, notebooks reproducibles y artefactos de proyecto. ¿Qué buscamos?: Conocimientos sólidos en Python, Git y buenas prácticas de desarrollo. Bases de machine learning y LLMs: modelos generativos, métricas y experimentación. Conocimientos iniciales de RAG, embeddings y bases vectoriales (FAISS, Azure AI Search, Pinecone o similares). Familiaridad con frameworks de agentes o motivación clara por profundizar en Agentic Systems. Experiencia básica en APIs, Docker, testing y CI/CD. Capacidad analítica, orientación a calidad y aprendizaje continuo. ¿Qué valoramos?: Experiencia o conocimientos en Azure ML, Azure OpenAI o Databricks. Front-end ligero para demos (React / Next.js + TypeScript). Nociones de arquitecturas multi-agente, planificación y enrutado avanzado de herramientas. Principios de Responsible AI, privacidad, mitigación de sesgos y control de riesgos. Qué of r ecemos: ✨ Crecimiento profesional: Oportunidad de liderar iniciativas estratégicas en un entorno dinámico. Formación continua con certificaciones técnicas. Retribución flexible (seguro médico privado, tarjeta restaurant, ayuda al transporte, cheques de guardería) Descuentos comerciales exclusivos. ️ Plataforma gratuita de idiomas (Inglés, Francés, Alemán, Portugués, Chino...) ☀️Jornada intensiva de julio y agosto y viernes durante todo el año. Evaluaciones anuales en las que se determinará tu plan de carrera así como formación personalizada en base a tu experiencia y preferencias. -Posibilidad de teletrabajo. Sobre nosotros: Somos un hub nativo digital entre Europa y América, con la misión de transformar el negocio de nuestros clientes, orientando sus inversiones tecnológicas hacia el futuro y mejorando sus cuentas de resultados, ingresos y valor. Contamos con una valiosa experiencia en múltiples campos como telecomunicaciones, energía, construcción, consumo, retail, transportes, farmacia, banca, sanidad, turismo… Nuestra oferta multiplataforma, adaptada a cada industria, nos permiten definir, implementar y evolucionar estrategias tecnológicas y digitales únicas en cada sector en el que operan nuestros clientes. 1ª firma experta en SAP con triple certificación ISO 9001 20015, ISO/IEC 33000 y ISO/IEC 27001 y única compañía en España con Nivel 4 de madurez en ISO/IEC 3300. Contamos con una presencia fuerte y consolidada en Europa y América, apoyada en un equipo de 1.800+ profesionales desplegados a lo largo de nuestra extensa red de oficinas y centros global shore’ localizados a uno y otro lado del Atlántico. Esta ventaja competitiva nos posiciona como un proveedor global con visión de ‘hub’ entre ambos continentes, compañero de viaje de referencia para acompañar las inversiones tecnológicas y la expansión de compañías con operaciones en Europa y América.

NTT DATA is the 6th biggest IT Service Company in the world with more than 100.000 professionals and a turnover of more than 15 billion euros. We at NTT DATA Spain make the difference by being close to our clients, exceeding expectations, managing proactively our projects and customers and focusing on quality and selecting employees with the right mindset to make our company grow. The Group has the ambitious goal to position within the TOP 3 worldwide. We have been awarded Best Place to work in Spain for 4 consecutive years. What are we looking for? We are seeking a Senior AI Engineer to join our AI & Analytics team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing. You will work with a multidisciplinary team to develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation. We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on: • Defining and implementing technical solutions related to AI Platform framework/methodology., • Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment., • Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites., • Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases., • Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms. What will you be accountable for? Your responsibilities around our artificial intelligence services will be focused on the following fields of action: • Design, build, and deploy machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines., • Lead the development of AI-based products and services, ensuring scalability, robustness, and maintainability., • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions., • Develop and maintain reusable AI components and best practices for GenAI systems., • Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud., • Stay current with advancements in AI and proactively propose innovations., • Contribute to code reviews, documentation, and mentoring junior team members. Why would we want to meet you? We want to meet you if: • Solid understanding of AI foundations, including both classical machine learning and generative AI., • Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks., • Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace)., • Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production., • Strong software engineering practices (version control, CI/CD, testing, containerization)., • Must be located in or willing to relocate to Spain. We will positively value: • Master’s degree in Computer Science, Engineering, Data Science, or related field., • Experience with MLOps tools and practices., • Experience in Agile/Scrum environments and collaborating with remote teams., • Excellent command of English (C1-C2 level)., • Background in consulting or client-facing AI delivery projects. What do we offer? We propose: • To work on projects for leading companies in Spanish and European market., • To be involved in high priority projects with visibility to senior leadership, • To apply the latest technical innovations in artificial intelligence platforms in AWS., • To attend and give conferences., • To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies., • A competitive salary according to provided experience., • A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications). If you are interested or would like to have more information, please apply via this advertisement.

AI Engineer (Generative AI & Agentic Systems) – 100% Remote We are looking for a hands-on AI Engineer to join a fast-growing, international tech company and work on cutting-edge Generative AI solutions and intelligent agentic systems. This is not a research role — we’re looking for someone who builds, deploys, and scales real AI products. What you’ll do • Design and build end-to-end Generative AI solutions, • Develop AI agents and RAG (Retrieval-Augmented Generation) pipelines, • Work closely with cross-functional teams to deliver scalable AI systems, • Build and validate PoCs and production-ready solutions, • Stay up to date with the latest trends in GenAI and agentic frameworks What we’re looking for • 3+ years of experience in Applied AI / Machine Learning (industry), • Strong background in Software Engineering (Python preferred), • Hands-on experience building:, • GenAI applications, • RAG pipelines, • Agent-based systems, • Experience with frameworks such as:, • LangChain / LangGraph, • Google Agent Development Kit (ADK), • or similar, • Experience with cloud platforms (AWS, GCP, or Azure), • Strong communication skills and a builder mindset Nice to have • Experience with Vertex AI, Gemini, or similar tools, • Knowledge of evaluation frameworks (RAGAs, LangSmith), • Experience with Docker / Kubernetes, • Familiarity with CI/CD and MLOps practices What we offer • 100% remote within Europe, • Flexible working model, • International and collaborative environment, • Career growth and continuous learning opportunities Salary: Competitive, depending on experience If you're a Software Engineer with real hands-on experience in GenAI, and you enjoy building impactful AI solutions — let’s talk! Feel free to reach out or apply directly.

AI Engineer (Generative AI & Agentic Systems) – 100% Remote We are looking for a hands-on AI Engineer to join a fast-growing, international tech company and work on cutting-edge Generative AI solutions and intelligent agentic systems . This is not a research role — we’re looking for someone who builds, deploys, and scales real AI products . What you’ll do • Design and build end-to-end Generative AI solutions, • Develop AI agents and RAG (Retrieval-Augmented Generation) pipelines, • Work closely with cross-functional teams to deliver scalable AI systems, • Build and validate PoCs and production-ready solutions, • Stay up to date with the latest trends in GenAI and agentic frameworks What we’re looking for • 3+ years of experience in Applied AI / Machine Learning (industry), • Strong background in Software Engineering (Python preferred), • Hands-on experience building:, • GenAI applications, • RAG pipelines, • Agent-based systems, • Experience with frameworks such as:, • LangChain / LangGraph, • Google Agent Development Kit (ADK), • or similar, • Experience with cloud platforms (AWS, GCP, or Azure), • Strong communication skills and a builder mindset Nice to have • Experience with Vertex AI, Gemini, or similar tools, • Knowledge of evaluation frameworks (RAGAs, LangSmith), • Experience with Docker / Kubernetes, • Familiarity with CI/CD and MLOps practices What we offer • 100% remote within Europe, • Flexible working model, • International and collaborative environment, • Career growth and continuous learning opportunities Salary: Competitive, depending on experience If you're a Software Engineer with real hands-on experience in GenAI , and you enjoy building impactful AI solutions — let’s talk! Feel free to reach out or apply directly.

Quiénes somos En h&k creemos que las grandes cosas se logran en equipo. Somos una consultora tecnológica especializada en Microsoft, IA y consultoría con más de 30 años de experiencia en proyectos Cloud dentro del ecosistema de Microsoft y la energía de un equipo joven que combina innovación, agilidad y excelencia técnica. Con más de 200 profesionales, 1.100 empresas atendidas y sedes en Barcelona, Bilbao, Cartagena y Madrid, acompañamos a empresas líderes en su transformación digital en Europa y LATAM. Lo hacemos desde una visión integral: ofrecemos soluciones end-to-end en ocho áreas, que abarcan desde M365 y Azure hasta Copilot, Data & IA, desarrollo e innovación digital, siempre poniendo la tecnología al servicio de las personas. Somos Microsoft AI Cloud Solution Partner en Infraestructura, Datos e IA, Innovación digital y de apps, Trabajo moderno y Seguridad, y contamos con especializaciones avanzadas en Modern Workplace, Seguridad y Azure. Pero más allá de las certificaciones o la tecnología, lo que realmente nos define es cómo trabajamos y con quién lo hacemos. En h&k no hablamos solo de tecnología: hablamos de personas. Aquí trabajamos codo con codo, compartimos éxitos y aprendemos de la mano cada día. Nuestra cultura se basa en la cercanía, porque sabemos que la confianza se construye tanto con clientes como con las personas que forman parte de nuestro equipo. Nuestro propósito es claro: multiplicar capacidades, multiplicar visión y multiplicar impacto, siempre con un toque humano. Smart tech, human touch no es solo un lema, es nuestra forma de trabajar, de relacionarnos y de construir futuro, contigo. Tu día a día en este rol: ¿Te apasiona transformar datos en conocimiento accionable y aplicar machine learning para resolver retos reales de negocio? Buscamos una persona Data Scientist con experiencia en el diseño, desarrollo e implementación de soluciones basadas en IA y aprendizaje automático, que quiera crecer en un entorno colaborativo, innovador y conectado con los proyectos más punteros del ecosistema Microsoft y Azure. En este puesto tendrás la oportunidad de: • Diseñar, desarrollar e implementar soluciones basadas en aprendizaje automático (ML) y, cuando aplique, procesamiento del lenguaje natural (NLP)., • Analizar y evaluar los casos de uso de IA propuestos por el Comité de Transformación, garantizando su alineación con los objetivos del negocio., • Participar en la recopilación, preparación y depuración de datos, asegurando la calidad y coherencia de los conjuntos de datos., • Colaborar en la definición y mejora de pipelines de entrenamiento, validación y despliegue de modelos., • Implementar prácticas de MLOps para la trazabilidad, versionado y monitorización de modelos en producción., • Coordinar la relación con partners o proveedores externos, realizando seguimiento técnico y validación funcional de entregables., • Monitorizar el desempeño de los modelos y proponer mejoras o reentrenamientos., • Documentar modelos, procesos, arquitecturas y flujos para facilitar la escalabilidad y transferencia de conocimiento entre equipos. Lo que te ofrecemos • Contrato indefinido y plan de desarrollo profesional., • Trabajo 100% remoto, con conexión a un equipo colaborativo y multidisciplinar., • Formación continua y certificaciones oficiales en IA, Azure y Data Science., • Clases de inglés gratuitas., • Seguro médico privado cofinanciado., • Ticket restaurante, transporte y guardería., • Revisión salarial continuada según objetivos y evolución profesional., • Participación en proyectos innovadores de IA y datos con empresas líderes del sector. Lo que buscamos Queremos incorporar a una persona con una sólida base técnica, curiosidad analítica y mentalidad práctica, capaz de diseñar modelos de IA con impacto real en el negocio. Formación: • Grado en Ingeniería Informática o similar., • Valorable Máster en IA, Data Science o Machine Learning. Experiencia y conocimientos técnicos: • 3 a 5 años de experiencia en roles de Data Scientist o ML Engineer., • Experiencia en diseño, entrenamiento y evaluación de modelos de machine learning., • Conocimiento sólido de Python y librerías como Pandas, NumPy, Scikit-learn, y si aplica, spaCy / NLTK para NLP., • Conocimiento práctico de SQL y bases de datos relacionales., • Familiaridad con servicios cloud (Azure, AWS o GCP) para soportar el ciclo de vida de los modelos., • Conocimientos básicos de Docker (valorable)., • Buen nivel de inglés. MLOps (nivel intermedio): • Versionado de código y modelos (Git, MLflow o equivalentes)., • Construcción y mantenimiento de pipelines de datos y modelos., • Monitorización de métricas y rendimiento post-despliegue., • Despliegue en entornos productivos mediante APIs o contenedores. Si disfrutas trabajando con datos, te atraen los desafíos técnicos y quieres formar parte de un equipo donde la IA se aplica con propósito, en h&k queremos conocerte.

Avanade Data Platform Offering The Avanade Data Platform offering assists clients in organizing and optimizing their data estates using Microsoft cloud technologies. This comprehensive platform supports solutions using technologies as Microsoft Fabric, Internet of Things (IoT), Advanced Analytics, and Artificial Intelligence (AI), enabling clients to realize the full potential of their data-driven initiatives. Role Overview: Data Platform Solution Architect As a Data Platform Solution Architect, you will collaborate with clients to identify, document, and translate their business strategies and requirements into tailored solutions and services on Azure. These solutions help clients achieve their business objectives through advanced data capabilities. The scope of work includes diverse data types, such as batch, and real-time data, and leverages advanced analytics functionalities. We cover the entire data stack, including data ingestion and storage, data modeling, machine learning, and data interaction and visualization, utilizing Microsoft Azure technologies, especially Microsoft Fabric and Azure Databricks. Additionally, a general understanding of related cloud services, such as APIs, Microservices, and Security Services (Azure Active Directory, Azure KeyVault), is necessary. Familiarity with DevOps practices for data pipelines is also valued. You will be responsible for delivering relevant and sustainable customer technical proposals, drawing on your expertise in Data Platform and Analytics solutions. This role is part of the Avanade Data & AI Practice and emphasizes selecting the optimal architecture and delivery approach to balance costs, capabilities, and risks, ensuring clients achieve their desired business outcomes. As a technical counterpart to Business Developers and Account Leads, you will support sales by providing technical expertise, serving as a customer interface for Avanade’s technology solutions, offerings, and capabilities throughout the sales process. Key Role Responsibilities • Develop technical value propositions that address customer needs and differentiate Avanade positively., • Create technical architectures tailored to client requirements., • Build technical relationships with customer IT teams, mapping business and technology challenges to effective Data solutions., • Lead scope definition, approach, and estimation for technical proposal development activities., • Support negotiation and contracting by balancing scope, resources, and milestone requirements., • Analyze current business practices, processes, and procedures, while identifying future opportunities to leverage Microsoft Azure Data & Analytics PaaS and SaaS Services., • Identify and prioritize in-demand technical skills for Delivery Teams to guide training and development efforts. Job Qualifications • Proven client experience in defining Data architectures that balance cost, capability, and risk to meet business objectives., • Strong understanding of AI, Data, PaaS, and DevOps value propositions and technologies within the Microsoft Azure platform, especially with Microsoft Fabric (including PowerBI) and Azure Databricks, • Demonstrated ability to translate business use cases and requirements into technical solutions., • Ability to solve business problems using one or more Azure Data and Analytics services, combined with an agile approach., • Capacity to build strong technical credibility with customers and internal delivery teams., • Proven delivery background and substantial technology consulting experience., • Eagerness to learn new solutions and architecture patterns and apply them effectively., • High customer focus and commercial sensitivity., • Strong oral and written communication skills., • Ability to develop and foster customer relationships.

📝 Some details about your department At Making Science, we are launching Awaken , our innovation hub where we build new technology-driven solutions from scratch. Awaken brings together engineers, researchers, and innovators to turn bold ideas into real, AI-powered products. We are looking for Mobile Applications Engineers who enjoy building iOS and Android apps that integrate cutting-edge AI models, rapidly prototype ideas, and bring innovative solutions to life. 🎯 What we’d like you to do • Develop and maintain mobile applications for iOS and Android , using native (Swift, Kotlin) or cross-platform frameworks (Flutter, React Native) ., • Collaborate with AI Engineers to integrate predictive and generative AI models into mobile apps., • Design user-friendly interfaces and experiences for experimental AI-driven products., • Build APIs and backend integrations to support AI-powered functionality., • Rapidly prototype ideas and help transform them into scalable, production-ready mobile solutions ., • Experiment with emerging technologies in mobile development and AI applications. 🔊 What we’d like you to bring • Experience building native iOS (Swift) and/or Android (Kotlin/Java) applications ., • Experience with cross-platform frameworks like Flutter or React Native is a plus., • Familiarity with RESTful APIs, GraphQL, cloud services (AWS, GCP, Azure) ., • Knowledge of integrating AI models or SDKs into mobile applications is a plus., • Passion for experimenting, prototyping, and solving complex problems creatively ., • Ability to work in a fast-paced, innovation-driven environment , starting projects from scratch., • Strong collaboration skills to work with AI engineers, product designers, and other stakeholders. Nice to have: • Experience working in product-based companies., • Knowledge of or experience in Digital Marketing companies., • Experience building and deploying applications using Docker and Google Cloud. ✔️ Perks of joining us We give you complete stability with an indefinite job contract. We offer a fixed salary according to your worth and experience, plus a performance based bonus. Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance). Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they’re hired! Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model. We care about a healthy work-life balance. You can count on having flexible working hours and one day a week where you can work from home. You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more. Pack your bags! You’ll have 23 vacation days, plus 24th, 31st of December and San Publicito are off, and we have afternoons off on the eve of national holidays. Work comfortably and follow your own style, because we don’t have a dress code. We know how to have a good time! Never go hungry with our free daily fruit and our vending machine card! Take a break on our terrace, play foosball, darts, or PlayStation Be a part of a young, adventurous, and professional team, with people you’ll grow fond of! About Making Science Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We’ve joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success. Do you want to be part of this great family?

¿Eres un experto/a en Data Science buscando tu próximo gran reto? ¡Bluetab, an IBM Company, te está buscando! Certificados como Great Place to Work & Best Place to Work , somos una empresa donde la tecnología y las personas van de la mano. Aquí, no solo creces profesionalmente, sino también como parte de una comunidad donde la innovación, el conocimiento compartido y la calidad humana marcan la diferencia. ¿Qué hacemos en Bluetab? Somos el brazo especializado en Data, Cloud & AI de IBM , trabajando con compañías líderes de múltiples sectores. Diseñamos soluciones de alto impacto usando tecnologías punteras en entornos cloud e híbridos, ayudando a nuestros clientes a transformar sus estrategias de datos y analítica avanzada. En nuestra disciplina de Augmented Analytics , estamos buscando un/a Senior Data Scientists con al menos 4-5 años de experiencia en el diseño y desarrollo de modelos de IA enfocados/as a GenAI, apasionados/as por la analítica avanzada y con ganas de trabajar en proyectos de alto nivel técnico . ¿Qué harás en tu día a día como Data Scientist? ✔️ Implementación e implantación de asistentes virtuales inteligentes integrados en ecosistemas de microservicios. ✔️ Aseguramiento del rendimiento, escalabilidad y robustez de los modelos en producción. ✔️ Documentación y presentación de resultados de manera clara a equipos técnicos y de negocio. ✔️ Coordinación de múltiples agentes inteligentes mediante frameworks de orquestación (MCP, LangChain, Semantic Kernel). ✨ Lo que nos gustaría ver en ti: Arquitectura de microservicios: desarrollo en Python con FastAPI , integración de REST APIs y orquestación con colas Kafka (procesos síncronos y asíncronos). Cloud y entornos de datos : Azure/AWS/GCP y/o sobre Databricks. Buenas prácticas de ingeniería : testing (PyTest, funcional y unitario), calidad de código (Sonar, Fortify), CI/CD (Jenkins, Openshift, Docker). Bases de datos y almacenamiento : SQL, NoSQL (ej. MongoDB). Procesamiento del Lenguaje Natural (NLP) e IA Generativa: experiencia en LLMs, RAG (Retrieval Augmented Generation) y ChatBots basados en GPT (OpenAI en Azure). Orquestación de agentes inteligentes: uso de frameworks y protocolos como MCP (Model Context Protocol) , LangChain, Semantic Kernel u otros. Experiencia en fine-tuning y entrenamiento de modelos de IA Generativa. Conocimiento en analítica de datos y machine learning clásico (regresiones, random forest, boosting). Experiencia en integración de agentes autónomos con sistemas externos (APIs, ERPs, CRMs). Trabajo bajo metodologías ágiles (Scrum, Kanban) con herramientas colaborativas (Jira, Confluence). Valorable experiencia en MLOps / GenAI Ops: despliegue de modelos en entornos productivos, versionado de modelos, automatización y monitorización. Ahora viene lo bueno por ser bluetaber… ¿que te ofrecemos? Contrato indefinido y un salario acorde al rol y de mercado competitivo (El salario se relaciona en función de las competencias y conocimientos técnicos detectados en el proceso y rol asignado para el puesto con ese stack tecnológico, procurando respetar el sentido de equidad con la plantilla y siendo susceptible de mejora tras las evaluaciones continuas de desempeño). La pregunta estrella. ¿Teletrabajo? Sí, Teletrabajo flexible. A tu entera disposición tendrás también la sede de Madrid y/o los Hubs de Alicante, Barcelona, Bilbao y Málaga según ubicación (y con muy buenas conexiones) como centros de pertenencia. Horarios flexibles de entrada/salida, adaptado a tus necesidades personales y jornada intensiva los viernes y los meses de verano, julio y agosto. 23 días de vacaciones Tarjeta restaurant como beneficio social más allá del salario. Seguro médico & póliza dental con una amplia cobertura también como beneficio social más allá del salario. Disponibilidad además de plan de retribución flexible: Transporte + Guardería. Formación continua gamificada a través del plan rewards, con más de 1800 cursos y certificaciones oficiales. Además, tendrás a tu alcance el programa Career Coach para acompañarte en todo lo relativo a tu desarrollo y crecimiento dentro de Bluetab, con un sistema objetivo de evaluación continua. ¡Tú serás el dueño de tu crecimiento! Tarjeta Regalo Pass de 50€ en el mes de tu cumpleaños. Consideramos que la diversidad es enriquecedora y queremos velar por la inclusión e igualdad de oportunidades, por lo que contamos con un Plan de Igualdad y un Código Ético que recoge estos principios para garantizar la no discriminación de nuestras colaboradoras y colaboradores por cuestión de raza, color, nacionalidad, origen social, edad, sexo, estado civil, orientación sexual, ideología, opiniones políticas, religión o cualquier otra condición personal, física o social. ¿Listo/a para dar el salto a tu siguiente desafío en Data Science? ¡Únete a Bluetab y forma parte de una comunidad tech apasionada por la IA! ¡Inscríbete y da el siguiente paso en tu carrera! #wearehiring #bluetabanibmcompany #bluetaber #boostyourtalent

About the Company We are looking for a Software Engineer III with strong Data Engineering and MLOps experience. About the Role This is not a Data Scientist position — the role focuses on building production-grade data and ML pipelines and automating infrastructure on Azure Databricks. You will work at the intersection of data engineering, infrastructure automation, and machine learning, transforming prototype workflows into reliable, observable, and cost-efficient production pipelines. Responsibilities Design and maintain end-to-end data and ML pipelines using Databricks Workflows, Delta Lake, and Unity Catalog. Build reproducible training and deployment workflows integrated with experiment tracking, model registry, and artifact management. Implement data quality and observability frameworks. Build dashboards for data quality, model performance, and operational metrics (Lakeview, Grafana, or similar). Automate ingestion and feature pipelines using PySpark, SQL Warehouses, and Databricks Asset Bundles under CI/CD. Manage security, access, and governance. Optimize performance and cost of compute workloads. Develop automated evaluation and validation pipelines triggered by new telemetry data. Implement monitoring for drift detection, feature stability, and prediction quality. Maintain reproducible environments using Infrastructure as Code and containerization (Terraform or similar). Qualifications Strong Azure Databricks experience Strong PySpark / Data Engineering experience MLOps / ML pipeline automation experience CI/CD and Infrastructure as Code experience Experience with monitoring and production pipelines Required Skills Strong Azure Databricks experience Strong PySpark / Data Engineering experience MLOps / ML pipeline automation experience CI/CD and Infrastructure as Code experience Experience with monitoring and production pipelines Preferred Skills Experience with monitoring and production pipelines Pay range and compensation package Location: Madrid / Remote Contract: Contract / Freelance Rate: Hourly rate negotiable Start date: Immediate or within two weeks preferred

Solutions Architect – Cloud & MLOps (Iberia/France Region) 📍 France / Spain / Portugal– Remote (Europe) About the Company Our client is helping lead a new era in cloud computing designed specifically for the global AI economy. They build powerful tools and infrastructure that enable organisations to solve real-world challenges with AI — without the cost or complexity of building large in-house AI or machine learning teams. Headquartered in Amsterdam and publicly listed on Nasdaq, the company has a global presence with R&D hubs across Europe, North America, and Israel. Their growing team includes over 800 employees, with more than 400 engineers specialising in advanced hardware, software, and AI research. This is an opportunity to work alongside some of the most experienced innovators in AI infrastructure and cloud technologies. The Role We’re looking for a Solutions Architect specialising in Cloud Infrastructure and MLOps to join a fast-growing technical team. In this role, you will work closely with enterprise clients and AI/ML teams to design, architect, and implement high-performance cloud solutions. You will act as a trusted technical advisor , helping customers build scalable AI pipelines and optimise workloads across GPU-powered cloud environments. Candidates can be based in France, Spain or Portugal and work remotely. Key Responsibilities • Act as a trusted technical advisor to clients, guiding them through architecture, implementation, and optimisation of AI/ML cloud solutions., • Run proofs of concept, workshops, technical presentations, and training sessions focused on GPU cloud technologies and best practices., • Collaborate with customers to understand business requirements and design scalable solution architectures ., • Develop and document Infrastructure-as-Code solutions , working closely with support engineers and technical writers., • Help customers optimise AI/ML pipelines for performance, scalability, and efficient resource utilisation., • Serve as the technical point of expertise for customer scenarios across product, support, and marketing teams., • Support marketing and community engagement initiatives including hackathons, conferences, workshops, and webinars . Requirements • 5+ years of experience in a technical role such as Solutions Architect, Cloud Engineer, System/Network Engineer, or Developer with a focus on cloud infrastructure., • Strong hands-on experience with Infrastructure as Code and configuration management tools (preferably Terraform and/or Ansible)., • Experience with Kubernetes and programming in Python ., • Solid understanding of GPU computing for ML training and inference workloads , including GPU drivers and libraries (CUDA, OpenCL, etc.)., • Excellent communication skills and a customer-focused mindset ., • Fluency in one of French, Spanish or Portuguese is needed. Nice to Have • Experience with HPC or ML orchestration frameworks such as Slurm or Kubeflow., • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch., • Understanding of the cloud ML ecosystem across platforms such as NVIDIA, AWS, Azure, or Google Cloud. What’s on Offer • Competitive salary and benefits package, • Flexible remote working within the Iberia region, • Strong opportunities for career growth in a rapidly expanding AI infrastructure company, • A collaborative and innovative environment working at the cutting edge of AI and cloud technology

ALTEN is a leading technology consulting and engineering company, present in more than 30 countries and with more than 57,000 professionals worldwide. In Spain, we work alongside companies and public bodies to develop innovative solutions that drive digital transformation and operational efficiency. Role Overview As an AI Expert at Alten, you will provide technical leadership and expertise across consulting engagements, pre-sales activities, and project delivery. You will guide clients and internal teams through the full AI lifecycle, from use case identification to industrialization, while ensuring alignment with best practices and emerging technologies. Global Responsibilities Deliver consulting support, pre-sales support, and project delivery for AI-related initiatives. Act as a trusted advisor for clients and internal teams on AI strategy, architecture, and implementation. Contribute to the growth of Alten’s AI practice through innovation, knowledge sharing, and recruitment. Consulting & Pre-Sales Support sales teams during opportunity qualification, RFP responses, and client meetings for AI-related scopes. Assist in qualifying opportunities and responding to RFPs for AI-related scopes. Support sales teams during client meetings and proposal preparation. Project Delivery Lead use case qualification during audits and assessments. Prepare and share audit reports, including technical solutions, cost estimates, and ROI analysis. Act as a technical advisor for POCs and industrialization phases. Participate in POC development when technically required. Ensure reuse of Alten AI “Accelerators” and compliance with data and technical standards. Innovation & Evangelization Maintain continuous awareness of AI trends and emerging technologies. Design and build demonstrators when needed, showcasing Alten’s AI capabilities. Represent Alten at industry events, conferences, and webinars. Conduct workshops and client committees to promote AI adoption. Internal Contributions Share best practices and technical knowledge across teams. Support skill development and training initiatives for consultants. Participate in recruitment and mentoring of AI talent. Required Qualifications Master’s degree (or equivalent) in Computer Science, Data Science, or related field. At least 5 years of experience delivering AI projects (ML, DL, NLP, CV, etc.). Strong expertise in one or more AI-related languages, frameworks, and tools (e.G., Python, TensorFlow, PyTorch, Scikit-learn, PySpark, LangChain, HuggingFace, etc.). Ability to act as technical advisor or tech lead for Data Scientists teams. Valued Skills Experience with one or more cloud environments (Azure, AWS, GCP) and associated AI services (e.G., Azure AI Foundry, Microsoft Fabric, AWS Sagemaker, AWS Bedrock, Vertex AI). Hands-on experience with Generative AI (e.G. LLM, Multimodal LLM, RAG, etc.). Previous experience in consulting or IT services companies (ESN). Knowledge of MLOps/LLMOps principles (CI/CD, monitoring, etc.). Fundamental knowledge of data governance, security, and compliance in AI projects. Soft Skills Excellent communication and presentation skills for client-facing interactions. Strong problem-solving mindset and adaptability in fast-changing environments. Ability to work collaboratively in cross-functional teams and worldwide environments. Typical Technical Environment for Information Only AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers Generative AI & LLM Tools: OpenAI APIs, LangChain, RAG frameworks Cloud Platforms & Services: Azure (Machine Learning, Cognitive Services, Azure AI Foundry), AWS (SageMaker, Bedrock), GCP (Vertex AI) MLOps & Deployment Tools: MLflow, Kubeflow, Docker, Kubernetes This role requires availability to travel across Spain.

AI Engineer (Generative AI & Agentic Systems) – 100% Remote We are looking for a hands-on AI Engineer to join a fast-growing, international tech company and work on cutting-edge Generative AI solutions and intelligent agentic systems . This is not a research role — we’re looking for someone who builds, deploys, and scales real AI products . What you’ll do • Design and build end-to-end Generative AI solutions • Develop AI agents and RAG (Retrieval-Augmented Generation) pipelines • Work closely with cross-functional teams to deliver scalable AI systems • Build and validate PoCs and production-ready solutions • Stay up to date with the latest trends in GenAI and agentic frameworks What we’re looking for • 3+ years of experience in Applied AI / Machine Learning (industry) • Strong background in Software Engineering (Python preferred) • Hands-on experience building: • GenAI applications • RAG pipelines • Agent-based systems • Experience with frameworks such as: • LangChain / LangGraph • Google Agent Development Kit (ADK) • or similar • Experience with cloud platforms (AWS, GCP, or Azure) • Strong communication skills and a builder mindset Nice to have • Experience with Vertex AI, Gemini, or similar tools • Knowledge of evaluation frameworks (RAGAs, LangSmith) • Experience with Docker / Kubernetes • Familiarity with CI/CD and MLOps practices What we offer • 100% remote within Europe • Flexible working model • International and collaborative environment • Career growth and continuous learning opportunities Salary: Competitive, depending on experience If you're a Software Engineer with real hands-on experience in GenAI , and you enjoy building impactful AI solutions — let’s talk! Feel free to reach out or apply directly.

Hands-on experience deploying machine learning workloads on Azure, AWS, or Google Cloud Platform. Azure AI Foundry, AWS SageMaker/Bedrock, Google Vertex AI).

¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales? En STRATESY S estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti. Estamos buscando un perfil de AI Engineer para incorporarse a nuestro equipo dentro del departamento de Innovation&AI: ¿Qué harás en tu día a día?: Construir pipelines de datos para ingesta, limpieza, transformación y extracción de features. Participar en el diseño, entrenamiento, evaluación y validación de modelos de ML y soluciones basadas en LLMs. Colaborar en la definición de métricas técnicas y de negocio (precisión, grounding, coste, latencia, éxito de tareas). Implementar agentes basados en LLMs utilizando frameworks como LangChain, Semantic Kernel, AutoGen o equivalentes. Diseñar agentes capaces de interactuar con herramientas, APIs internas, workflows empresariales y bases de conocimiento. Participar en la construcción de RAG agents, agentes especializados por dominio, agentes de planificación y agentes orquestadores. Diseñar y refinar prompt flows, memoria contextual y estrategias de control para mejorar fiabilidad y trazabilidad Contribuir al diseño de guardrails, validaciones y mecanismos de Human-in-the-Loop. Medir y analizar el comportamiento de los agentes: desviaciones de instrucciones, errores, costes, latencia y robustez.. Colaborar en despliegues en entornos cloud (Azure, AWS o GCP). Apoyar tareas de monitorización, logging y observabilidad de modelos y agentes (drift, fallos, degradación). Mantener documentación técnica, notebooks reproducibles y artefactos de proyecto. ¿Qué buscamos?: Conocimientos sólidos en Python, Git y buenas prácticas de desarrollo. Bases de machine learning y LLMs: modelos generativos, métricas y experimentación. Conocimientos iniciales de RAG, embeddings y bases vectoriales (FAISS, Azure AI Search, Pinecone o similares). Familiaridad con frameworks de agentes o motivación clara por profundizar en Agentic Systems. Experiencia básica en APIs, Docker, testing y CI/CD. Capacidad analítica, orientación a calidad y aprendizaje continuo. ¿Qué valoramos?: Experiencia o conocimientos en Azure ML, Azure OpenAI o Databricks. Front-end ligero para demos (React / Next.js + TypeScript). Nociones de arquitecturas multi-agente, planificación y enrutado avanzado de herramientas. Principios de Responsible AI, privacidad, mitigación de sesgos y control de riesgos. Qué of r ecemos: ✨ Crecimiento profesional: Oportunidad de liderar iniciativas estratégicas en un entorno dinámico. Formación continua con certificaciones técnicas. Retribución flexible (seguro médico privado, tarjeta restaurant, ayuda al transporte, cheques de guardería) Descuentos comerciales exclusivos. ️ Plataforma gratuita de idiomas (Inglés, Francés, Alemán, Portugués, Chino...) ☀️Jornada intensiva de julio y agosto y viernes durante todo el año. Evaluaciones anuales en las que se determinará tu plan de carrera así como formación personalizada en base a tu experiencia y preferencias. -Posibilidad de teletrabajo. Sobre nosotros: Somos un hub nativo digital entre Europa y América, con la misión de transformar el negocio de nuestros clientes, orientando sus inversiones tecnológicas hacia el futuro y mejorando sus cuentas de resultados, ingresos y valor. Contamos con una valiosa experiencia en múltiples campos como telecomunicaciones, energía, construcción, consumo, retail, transportes, farmacia, banca, sanidad, turismo… Nuestra oferta multiplataforma, adaptada a cada industria, nos permiten definir, implementar y evolucionar estrategias tecnológicas y digitales únicas en cada sector en el que operan nuestros clientes. 1ª firma experta en SAP con triple certificación ISO 9001 20015, ISO/IEC 33000 y ISO/IEC 27001 y única compañía en España con Nivel 4 de madurez en ISO/IEC 3300. Contamos con una presencia fuerte y consolidada en Europa y América, apoyada en un equipo de 1.800+ profesionales desplegados a lo largo de nuestra extensa red de oficinas y centros global shore’ localizados a uno y otro lado del Atlántico. Esta ventaja competitiva nos posiciona como un proveedor global con visión de ‘hub’ entre ambos continentes, compañero de viaje de referencia para acompañar las inversiones tecnológicas y la expansión de compañías con operaciones en Europa y América.

¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales? En STRATESY S estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti. Estamos buscando un perfil de AI Engineer para incorporarse a nuestro equipo dentro del departamento de Innovation&AI: ¿Qué harás en tu día a día?: Construir pipelines de datos para ingesta, limpieza, transformación y extracción de features. Participar en el diseño, entrenamiento, evaluación y validación de modelos de ML y soluciones basadas en LLMs. Colaborar en la definición de métricas técnicas y de negocio (precisión, grounding, coste, latencia, éxito de tareas). Implementar agentes basados en LLMs utilizando frameworks como LangChain, Semantic Kernel, AutoGen o equivalentes. Diseñar agentes capaces de interactuar con herramientas, APIs internas, workflows empresariales y bases de conocimiento. Participar en la construcción de RAG agents, agentes especializados por dominio, agentes de planificación y agentes orquestadores. Diseñar y refinar prompt flows, memoria contextual y estrategias de control para mejorar fiabilidad y trazabilidad Contribuir al diseño de guardrails, validaciones y mecanismos de Human-in-the-Loop. Medir y analizar el comportamiento de los agentes: desviaciones de instrucciones, errores, costes, latencia y robustez.. Colaborar en despliegues en entornos cloud (Azure, AWS o GCP). Apoyar tareas de monitorización, logging y observabilidad de modelos y agentes (drift, fallos, degradación). Mantener documentación técnica, notebooks reproducibles y artefactos de proyecto. ¿Qué buscamos?: Conocimientos sólidos en Python, Git y buenas prácticas de desarrollo. Bases de machine learning y LLMs: modelos generativos, métricas y experimentación. Conocimientos iniciales de RAG, embeddings y bases vectoriales (FAISS, Azure AI Search, Pinecone o similares). Familiaridad con frameworks de agentes o motivación clara por profundizar en Agentic Systems. Experiencia básica en APIs, Docker, testing y CI/CD. Capacidad analítica, orientación a calidad y aprendizaje continuo. ¿Qué valoramos?: Experiencia o conocimientos en Azure ML, Azure OpenAI o Databricks. Front-end ligero para demos (React / Next.js + TypeScript). Nociones de arquitecturas multi-agente, planificación y enrutado avanzado de herramientas. Principios de Responsible AI, privacidad, mitigación de sesgos y control de riesgos. Qué of r ecemos: ✨ Crecimiento profesional: Oportunidad de liderar iniciativas estratégicas en un entorno dinámico. Formación continua con certificaciones técnicas. Retribución flexible (seguro médico privado, tarjeta restaurant, ayuda al transporte, cheques de guardería) Descuentos comerciales exclusivos. ️ Plataforma gratuita de idiomas (Inglés, Francés, Alemán, Portugués, Chino...) ☀️Jornada intensiva de julio y agosto y viernes durante todo el año. Evaluaciones anuales en las que se determinará tu plan de carrera así como formación personalizada en base a tu experiencia y preferencias. -Posibilidad de teletrabajo. Sobre nosotros: Somos un hub nativo digital entre Europa y América, con la misión de transformar el negocio de nuestros clientes, orientando sus inversiones tecnológicas hacia el futuro y mejorando sus cuentas de resultados, ingresos y valor. Contamos con una valiosa experiencia en múltiples campos como telecomunicaciones, energía, construcción, consumo, retail, transportes, farmacia, banca, sanidad, turismo… Nuestra oferta multiplataforma, adaptada a cada industria, nos permiten definir, implementar y evolucionar estrategias tecnológicas y digitales únicas en cada sector en el que operan nuestros clientes. 1ª firma experta en SAP con triple certificación ISO 9001 20015, ISO/IEC 33000 y ISO/IEC 27001 y única compañía en España con Nivel 4 de madurez en ISO/IEC 3300. Contamos con una presencia fuerte y consolidada en Europa y América, apoyada en un equipo de 1.800+ profesionales desplegados a lo largo de nuestra extensa red de oficinas y centros global shore’ localizados a uno y otro lado del Atlántico. Esta ventaja competitiva nos posiciona como un proveedor global con visión de ‘hub’ entre ambos continentes, compañero de viaje de referencia para acompañar las inversiones tecnológicas y la expansión de compañías con operaciones en Europa y América.

NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate: telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare. Our mission? To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future. Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world. What are we looking for? We are looking for people specialized in AI, specifically as an architect. As an AI Architect at NTT DATA, you will be the technical visionary and hands-on leader responsible for defining, designing, and guiding the implementation of enterprise-grade AI and generative AI solutions. You will collaborate closely with data engineers, ML engineers, cloud architects, and business stakeholders to translate strategic objectives into scalable, secure, and maintainable AI systems. Your day-to-day will focus on: • Architect end-to-end AI and generative AI platforms, covering data ingestion, modeling, deployment, monitoring, and governance., • Provide guidance and best practices for model development, MLOps workflows, and infrastructure automation., • Design secure, cost-effective deployments on public cloud providers (Azure, AWS, or GCP), leveraging native AI/ML services as appropriate., • Define and maintain IaC pipelines (e.g., Terraform) to provision and manage cloud resources consistently and reproducibly., • Establish CI/CD pipelines for model versioning, automated testing, and continuous monitoring using tools like MLflow (or equivalent)., • Containerize services and models with Docker; design orchestration patterns (Kubernetes, ECS, etc.) to support scalable inference., • Drive adoption of coding standards, security best practices, and data privacy controls across AI projects., • Partner with stakeholders—data scientists, data engineers, cybersecurity, and business units—to ensure alignment with organizational goals., • Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies. Why would we like to meet you? We'd love to meet you if: • Proven experience designing production-grade AI and generative AI solutions at scale., • Hands-on experience deploying machine learning workloads on Azure, AWS, or Google Cloud Platform., • Familiarity with cloud-native AI services (e.g., Azure AI Foundry, AWS SageMaker/Bedrock, Google Vertex AI)., • Proficient in Python, with deep knowledge of AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face)., • Demonstrable experience using Terraform (or equivalent) to define and manage cloud infrastructure., • Practical experience with MLflow or similar platforms to operationalize ML workflows., • Solid understanding of Docker; experience with Kubernetes or other container orchestration systems is a plus., • Excellent command of English (C1–C2 level), with the ability to articulate complex technical concepts to diverse audiences., • Must be based in Spain. We value knowledge in: • Master’s degree in Computer Science, Engineering, Data Science, or related field., • Experience in Agile/Scrum environments and collaborating with remote teams., • Background in consulting or client-facing AI delivery projects. What do we offer? At NTT DATA, we offer: • Career development: an individualized and mentored career plan for both your personal and professional life., • Training tailored to your needs and preferences. Through our Corporate University, you can complete certifications, language courses, management skills, and technical courses, and access Udemy., • Great team: work in a positive team environment where you can learn from others and they from you., • Flexibility and work-life balance: a hybrid work environment and flexible hours., • Cutting-edge projects: the opportunity to work on high-priority projects for leading companies in Spain and Europe., • The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies., • Competitive salary commensurate with experience., • Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance. Interested? If you're ready to shape the future of generative AI with us, apply today! Because #Greattech, needs #GreatPeople, like you.

Data Engineer (Python, Spark, Cloud) Axpe Consulting – España | 100% Remoto | Proyecto estable 📍 Ubicación: Remoto 💼 Proyecto de largo plazo en entornos enterprise, con impacto real en plataformas de datos a gran escala 🌍 Inglés alto (B2 o superior) – colaboración con equipos internacionales En Axpe Consulting buscamos un/a Senior Data Engineer para incorporarse a proyectos estratégicos de datos, trabajando con grandes volúmenes de información, arquitecturas modernas y plataformas cloud líderes del mercado. El rol tiene un fuerte componente técnico y de liderazgo, participando tanto en la construcción como en la definición de soluciones de datos escalables, seguras y orientadas a analítica avanzada y Machine Learning. 💼 Responsabilidades • Diseño, desarrollo y mantenimiento de pipelines de datos a gran escala en entornos cloud y on-premise., • Procesamiento distribuido de datos utilizando PySpark, SparkSQL y Python., • Diseño y optimización de consultas SQL y NoSQL para entornos analíticos de alto rendimiento., • Modelado de datos y definición de arquitecturas analíticas (Data Lake, Lakehouse, Data Warehouse)., • Liderazgo técnico en proyectos de datos y coordinación con equipos multidisciplinarios (Data, Cloud, Arquitectura, Negocio)., • Definición de estrategias de datos junto a arquitectos y stakeholders técnicos., • Implementación de buenas prácticas de calidad del dato, seguridad y gobernanza., • Participación activa en despliegues, automatización y mejora continua de las plataformas. 🛠️ Stack tecnológico Procesamiento y plataformas de datos • Python, PySpark, SparkSQL, • Databricks, • Snowflake, • AWS (Glue, Redshift, S3, EMR), • Azure (Fabric, Data Factory, Synapse), • GCP (BigQuery, Dataproc, Cloud Storage) DevOps & buenas prácticas • Azure DevOps, Jenkins, GitLab CI, • Automatización de despliegues, • Seguridad cloud y control de accesos, • Versionado y testing de pipelines de datos ✅ Requisitos obligatorios • +5 años de experiencia como Data Engineer en entornos enterprise., • Experiencia sólida trabajando con grandes volúmenes de datos., • Dominio avanzado de Python, PySpark y SparkSQL., • Amplia experiencia en SQL y bases de datos analíticas., • Conocimiento profundo de modelado de datos y arquitecturas analíticas., • Experiencia trabajando en entornos cloud (AWS, Azure o GCP)., • Capacidad de liderazgo técnico y toma de decisiones., • Inglés alto (B2 o superior) para colaboración internacional. 🌱 Se valorará especialmente • Experiencia en arquitecturas Lakehouse., • Conocimientos de Data Governance y Data Quality., • Certificaciones en Snowflake, Databricks, AWS, Azure o GCP., • Experiencia en proyectos internacionales o multi-país., • Background en sectores como banca, retail o industria. 🎓 Formación • Titulación en Ingeniería Informática, Telecomunicaciones o áreas afines. 🌍 ¿Qué ofrecemos? • Proyecto estable y de largo recorrido., • Trabajo 100% remoto desde España., • Entorno técnico avanzado, con tecnologías líderes de mercado., • Rol con peso real en decisiones técnicas y de arquitectura., • Colaboración con equipos y clientes internacionales., • Crecimiento profesional, formación continua y certificaciones. #DataEngineer #SeniorDataEngineer #BigData #PySpark #Databricks #Snowflake #CloudData #AWS #Azure #GCP

Senior Data Engineer In a few words Position: Senior Data Engineer – AI Labs at Insud Pharma Location: Madrid (hybrid) Experience: 5+ years in Data Engineering or Analytics Engineering roles About AI Labs at Insud Pharma AI Labs is Insud Pharma’s transversal team for Artificial Intelligence, Data Science, and Machine Learning , working across the group to deliver production‑ready data and AI solutions with real impact. The team operates across a wide range of areas, including R&D and clinical data, global health and epidemiology, manufacturing and quality, supply chain and operations, and business analytics , partnering closely with business units, and external organizations. AI Labs combines strong engineering standards with pragmatic execution, focusing on building scalable AI‑enabled solutions that move from experimentation to real‑world adoption. Role Context This role will be primarily focused on projects linked to Fundación Mundo Sano , an international organization dedicated to improving health and quality of life for vulnerable communities through research, innovation, and international cooperation (e.g. neglected diseases such as Chagas). The goal of this position is to ensure that data coming from multiple sources becomes available, consistent, reliable, and reusable , enabling dashboards, reporting, and AI/ML use cases. Due to the international nature of the projects, the role may involve occasional travel to Latin America, Africa, or other regions to work closely with local teams and better understand data generation on the ground. Role Objective Build and operate a coherent, well‑structured data foundation for Fundación Mundo Sano projects by owning the data engineering layer end‑to‑end : ingestion, modeling, data quality, availability, monitoring, and data delivery for dashboards and AI enablement. Key Responsibilities Build and operate data ingestion pipelines (ETL/ELT) from multiple sources (field programs, research datasets, epidemiological surveillance systems, partners, files, APIs). Design and maintain data models and curated datasets that standardize entities, metrics, and definitions across projects. Ensure data quality, reliability, and consistency through automated checks, monitoring, and basic observability. Decide how data is structured, stored, and versioned to enable long‑term reuse and scalability. Make data available and easy to consume for dashboards, reporting, and AI/ML use cases. Proactively guide business and project teams on data best practices , setting standards, shaping requirements, and influencing how data should be collected, structured, and used. Collaborate closely with stakeholders to translate needs into scalable, maintainable data foundations . Technologies (examples – adapt to actual stack) Languages: SQL, Python Pipelines / orchestration: Airflow, Prefect, Dagster or similar Transformations: dbt or equivalent Storage: Data warehouse / lakehouse (e.g. Snowflake, BigQuery, Databricks, Synapse) Data quality / monitoring: Great Expectations, Soda, or similar BI / Dashboards: Power BI, Tableau, Looker or similar Engineering basics: Git, CI/CD, basic cloud concepts (AWS / Azure / GCP) What we are looking for ~ A senior, hands‑on Data Engineer with a strong ownership mindset, comfortable building and operating core data structures and pipelines . ~5+ years of experience in Data Engineering or Analytics Engineering roles. ~ Strong SQL and solid Python , with hands‑on experience building and running ETL/ELT pipelines in production. ~ Proven experience integrating heterogeneous and diverse data sources (multiple systems, files, APIs, changing schemas, inconsistent identifiers). ~ Good understanding of data modeling and analytical data structures, with the ability to standardize entities, metrics, and definitions across projects. ~ Experience ensuring data quality, reliability, and monitoring , including automated checks and basic observability. ~ Comfortable making data available for dashboards, reporting, and AI/ML use cases through curated, analytics‑ready datasets. ~ Able to work proactively with business and project teams, shaping requirements and setting data standards rather than waiting for fully specified inputs. ~ Spanish as the daily working language; English required for specific projects and international collaboration. ~ Pragmatic, ownership‑driven mindset, strong communication skills, and motivation to work on social and public‑health impact projects . Our benefits! ⏰ Flexible start time from Monday to Friday Permanent contract. Life and accident insurance. ️ Ticket restaurant Training and language learning platform ♀️ Wellness platform with unlimited free psychologist sessions Cabify transportation service for employee use Development plans, internal mobility policy. ⭐ Many more! COMMITMENT TO EQUAL OPPORTUNITIES The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

¡En Fujitsu buscamos personas con talento! Fujitsu es la compañía líder japonesa en tecnología digital, de la información y comunicaciones, y uno de los cinco principales proveedores de estos servicios en el mundo. Contamos con más de 50 años de experiencia en la entrega de soluciones tecnológicas a clientes de todo el globo y somos más de 140.000 expertos con el propósito de crear un mundo más sostenible a través de la innovación. Somos una compañía que pone en valor la DIVERSIDAD y el TALENTO de TODOS; una empresa que reconoce los valores profesionales, la capacitación laboral y la pasión, independientemente de las diferentes capacidades de cada uno que, lejos de alejarnos, nos enriquecen.. ✔️¿Qué habilidades y experiencia requerimos de ti? • Experiencia de al menos 3 años en funciones relacionadas con el puesto., • Grado en Ingeniería de Matemáticas, Física , Telecomunicación, Industrial, Informática o similares., • Experiencia en consultoría de proyectos de datos, técnica y/o funcional en empresas del sector., • Experiencia en diseño e implementación de soluciones de Machine Learning (desde el análisis exploratorio hasta la puesta en producción)., • Conocimiento práctico de herramientas y plataformas de IA y datos: Azure, Databricks, Google, Amazon, etc., • Experiencia valorable en el diseño de soluciones de IA Generativa., • Familiaridad con arquitecturas de nube pública o privada., • Perfil analítico, con pensamiento crítico y orientación a resultados., • Capacidad para gestionar proyectos y resolver problemas en entornos exigentes., • Buenas habilidades interpersonales y capacidad de empatía., • Ingles B2+ ✔️Además valoramos... • Máster en tecnologías asociadas a la analítica de datos o inteligencia artificial., • Certificaciones: tecnologías, nubes, lenguajes de programación, etc., • Persona proactiva, organizada y con alto nivel de autoexigencia. ✔️ ¿Qué te ofrecemos? • Contratación indefinida., • Ayuda de comida., • Plan de Compensación Flexible (seguro médico, guardería, transporte, formación)., • Seguro de vida y accidentes., • Carrera profesional en una multinacional líder en su sector., • Empresa con sólida cultura organizacional., • Licencia Linkedin Learning y otras plataformas formativas. ¡Y muchísimos beneficios más! ¿Y por qué Fujitsu? • La consultora independiente Whitelane Research y la consultora de estrategia Quint, en su estudio sobre el outsourcing de servicios IT en España 2022 ha situado a Fujitsu como líder en el nuevo indicador de Ciberseguridad y como líder en el indicador Business Understanding., • Fujitsu se encuentra en el top 10 de proveedores de Servicios a nivel mundial., • Fujitsu atesora unas 97.000 patentes en todo el mundo., • Fujitsu figura en Dow Jones Sustainability Indexes (World), FTSE4Good Index Series, y en Oekom research., • La revista FORTUNE ha nombrado a Fujitsu como una de las Compañías del mundo más admiradas cuatro veces consecutivas desde 2012.

🎯 ¿Eres un experto/a en IA Generativa y Grafos buscando tu próximo gran reto? ¡Bluetab, an IBM Company, te está buscando! 💼🌍 🏆 Certificados como Great Place to Work & Best Place to Work, somos una empresa donde la tecnología y las personas van de la mano. Aquí, no solo creces profesionalmente, sino también como parte de una comunidad donde la innovación, el conocimiento compartido y la calidad humana marcan la diferencia. 🚀 ¿Qué hacemos en Bluetab? Somos el brazo especializado en Data, Cloud & AI de IBM, trabajando con compañías líderes de múltiples sectores. Diseñamos soluciones de alto impacto usando tecnologías punteras en entornos cloud e híbridos, ayudando a nuestros clientes a transformar sus estrategias de datos y analítica avanzada. 🧠 En nuestra línea de Augmented Analytics, estamos buscando un/a Lead Architect con al menos 6-7 años de experiencia en el diseño y desarrollo de agentes, apasionado/a por la IA Generativa y con ganas de trabajar en proyectos nacionales e internacionales de alto nivel técnico. 🔍 ¿Qué harás en tu día a día como Lead Architect? • Definir la estrategia técnica y arquitectura de la Plataforma de Agentes sobre AKS., • Diseñar el framework común de agentes (orquestación, memoria, tools, gobierno)., • Modelar el “cerebro” de la plataforma mediante Knowledge Graphs y grafos de ejecución, habilitando razonamiento contextual y toma de decisiones complejas., • Definir estándares de desarrollo, seguridad, observabilidad y LLMOps., • Integrar LLMs (OpenAI / Open Source), APIs corporativas y Lakehouse., • Establecer el modelo operativo multi-caso (reutilización, escalabilidad y control de costes)., • Liderar técnicamente a los equipos de desarrollo y coordinar con Arquitectura, Seguridad y CdC IA Generativa., • Garantizar el paso de PoC a producción bajo criterios enterprise (resiliencia, compliance, FinOps). ✨ Lo que nos gustaría ver en ti: 🔹 Conocimientos sobre analítica de datos y machine learning. 🔹 Experiencia sólida en entorno cloud de Azure: configuración, despliegue y gestión de recursos. 🔹 Dominio de SQL, Python y librerías como Spark, Scikit-learn, TensorFlow, PyTorch, etc. 🔹 Arquitectura Cloud-Native en AKS + Python + Sistemas Multiagente. 🔹 Conocimientos de arquitectura y Knowledge Graphs (Neo4j / Gremlin) + LLMOps. 🔹 Ganas de aprender, proponer, compartir conocimiento y sumarte a una comunidad técnica muy activa. 🔹 Conocimientos y experiencia en grafos. 🎁 ¿Qué te ofrecemos por ser bluetaber? 💙 Contrato indefinido y salario competitivo adaptado a tu perfil técnico y experiencia. 🌐 Teletrabajo flexible y sedes en Madrid, Barcelona, Bilbao, Málaga y Alicante para que elijas cómo y desde dónde trabajar. 🕐 Horario flexible + jornada intensiva los viernes y en verano (julio y agosto). 📅 23 días de vacaciones. 🍽️ Tarjeta restaurante como beneficio social. 🏥 Seguro médico y dental privado. 🚗 Plan de retribución flexible: transporte + guardería. 📚 Formación continua gamificada y acceso a certificaciones técnicas (AWS, Azure, IA, etc.). 🧭 Career Coach para impulsar tu crecimiento y ayudarte a alcanzar tus metas profesionales. 🎉 ¡Y regalo de una tarjeta de 50€ en tu cumpleaños! 🌈Consideramos que la diversidad es enriquecedora y queremos velar por la inclusión e igualdad de oportunidades, por lo que contamos con un Plan de Igualdad y un Código Ético que recoge estos principios para garantizar la no discriminación de nuestras colaboradoras y colaboradores por cuestión de raza, color, nacionalidad, origen social, edad, sexo, estado civil, orientación sexual, ideología, opiniones políticas, religión o cualquier otra condición personal, física o social. 🔗 ¿Listo/a para dar el salto a tu siguiente desafío en el mundo de la IA? ¡Únete a Bluetab y forma parte de una comunidad tech apasionada! 💻🧠 📩 ¡Inscríbete ahora y revoluciona el mundo de los datos con nosotros! #wearehiring #bluetaber #MachineLearningJobs #AI #Cloud #AWS #GCP #VertexAI #DataScience #Python #LLMs #DeepLearning #AugmentedAnalytics #GreatPlaceToWork #TechCareers #DataDrivenFuture

¿Listo/a para impulsar tu carrera como MLOps Engineer en proyectos de Machine Learning y cloud a gran escala? 🚀 Sigue leyendo... ¿Cómo es trabajar con nosotr@s? 👩🏿 💻👨🏼 💻 • Tenemos una cultura de mejora continua: Te integrarás en un proyecto retador que impulsará tus conocimientos y experiencia. 🚀, • Crecimiento profesional: Apostamos por el crecimiento de nuestro equipo y priorizamos la promoción interna. 🏆, • Cercanía: Nunegal lo formamos personas, no números. Nos conocemos por el nombre. 👪 👨 👩 👧 👨 👩 👧 👦, • Buen rollo😃: Somos un equipo, nos ayudamos y compartimos conocimientos. Además, somos conocidos por nuestro #Nunefest🎸 ¿Qué te ofrecemos? 💡 • Incorporación a una empresa en constante crecimiento., • Teletrabajo 100%., • Retribución flexible (ticket restaurante, seguro médico, transporte y guardería)., • Formación en inglés y cursos IT. Sobre ti...🙎🏼 ♀️🙎🏾 ♂️ • Experiencia sólida de al menos 4 años en Machine Learning y MLOps, con enfoque en producción y despliegue de modelos., • Dominio de Python y familiaridad con entornos cloud (Azure, AWS, GCP)., • Capacidad para integrar modelos en microservicios y servicios serverless y conectar con APIs externas y MCPs., • Conocimiento en gestión de modelos con MLflow y Azure ML., • Experiencia con pipelines de entrenamiento, inferencia y procesamiento batch, y sistemas basados en LLMs y agentes., • Habilidad para diseñar soluciones técnicas complejas y colaborar en equipos multidisciplinares. ¿Cómo será tu día a día? 📲💻 • Implementarás soluciones técnicas de ML en producción, asegurando escalabilidad y eficiencia., • Colaborarás con equipos de desarrollo, datos y DevOps para garantizar la integración de modelos en arquitecturas cloud y microservicios., • Participarás en la automatización de pipelines, pruebas de modelos y monitorización de rendimiento., • Desarrollarás servicios y APIs que permitan la interacción de modelos con aplicaciones internas y externas., • Contribuirás a la adopción de buenas prácticas de MLOps, asegurando calidad, trazabilidad y reproducibilidad de los modelos.

¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales? En STRATESYS estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti. Estamos buscando un perfil de AI Engineer para incorporarse a nuestro equipo dentro del departamento de Innovation&AI: ¿Qué harás en tu día a día?: • Construir pipelines de datos para ingesta, limpieza, transformación y extracción de features., • Participar en el diseño, entrenamiento, evaluación y validación de modelos de ML y soluciones basadas en LLMs., • Colaborar en la definición de métricas técnicas y de negocio (precisión, grounding, coste, latencia, éxito de tareas)., • Implementar agentes basados en LLMs utilizando frameworks como LangChain, Semantic Kernel, AutoGen o equivalentes., • Diseñar agentes capaces de interactuar con herramientas, APIs internas, workflows empresariales y bases de conocimiento., • Participar en la construcción de RAG agents, agentes especializados por dominio, agentes de planificación y agentes orquestadores., • Diseñar y refinar prompt flows, memoria contextual y estrategias de control para mejorar fiabilidad y trazabilidad, • Contribuir al diseño de guardrails, validaciones y mecanismos de Human-in-the-Loop., • Medir y analizar el comportamiento de los agentes: desviaciones de instrucciones, errores, costes, latencia y robustez.., • Colaborar en despliegues en entornos cloud (Azure, AWS o GCP)., • Apoyar tareas de monitorización, logging y observabilidad de modelos y agentes (drift, fallos, degradación)., • Mantener documentación técnica, notebooks reproducibles y artefactos de proyecto. ¿Qué buscamos?: • Conocimientos sólidos en Python, Git y buenas prácticas de desarrollo., • Bases de machine learning y LLMs: modelos generativos, métricas y experimentación., • Conocimientos iniciales de RAG, embeddings y bases vectoriales (FAISS, Azure AI Search, Pinecone o similares)., • Familiaridad con frameworks de agentes o motivación clara por profundizar en Agentic Systems., • Experiencia básica en APIs, Docker, testing y CI/CD., • Capacidad analítica, orientación a calidad y aprendizaje continuo. ¿Qué valoramos?: • Experiencia o conocimientos en Azure ML, Azure OpenAI o Databricks., • Front-end ligero para demos (React / Next.js + TypeScript)., • Nociones de arquitecturas multi-agente, planificación y enrutado avanzado de herramientas., • Principios de Responsible AI, privacidad, mitigación de sesgos y control de riesgos. Qué ofrecemos: ✨Crecimiento profesional: Oportunidad de liderar iniciativas estratégicas en un entorno dinámico. 📚 Formación continua con certificaciones técnicas. 🩺 Retribución flexible (seguro médico privado, tarjeta restaurant, ayuda al transporte, cheques de guardería) 🎁 Descuentos comerciales exclusivos. 🗣️ Plataforma gratuita de idiomas (Inglés, Francés, Alemán, Portugués, Chino...) ☀️Jornada intensiva de julio y agosto y viernes durante todo el año. 💼Evaluaciones anuales en las que se determinará tu plan de carrera así como formación personalizada en base a tu experiencia y preferencias. -Posibilidad de teletrabajo. Sobre nosotros: • Somos un hub nativo digital entre Europa y América, con la misión de transformar el negocio de nuestros clientes, orientando sus inversiones tecnológicas hacia el futuro y mejorando sus cuentas de resultados, ingresos y valor. Contamos con una valiosa experiencia en múltiples campos como telecomunicaciones, energía, construcción, consumo, retail, transportes, farmacia, banca, sanidad, turismo…, • Nuestra oferta multiplataforma, adaptada a cada industria, nos permiten definir, implementar y evolucionar estrategias tecnológicas y digitales únicas en cada sector en el que operan nuestros clientes., • 1ª firma experta en SAP con triple certificación ISO 9001 20015, ISO/IEC 33000 y ISO/IEC 27001 y única compañía en España con Nivel 4 de madurez en ISO/IEC 3300., • Contamos con una presencia fuerte y consolidada en Europa y América, apoyada en un equipo de 1.800+ profesionales desplegados a lo largo de nuestra extensa red de oficinas y centros global shore’ localizados a uno y otro lado del Atlántico. Esta ventaja competitiva nos posiciona como un proveedor global con visión de ‘hub’ entre ambos continentes, compañero de viaje de referencia para acompañar las inversiones tecnológicas y la expansión de compañías con operaciones en Europa y América.

doValue S.p.A. is the leading operator in Southern Europe in credit management and real estate services for banks and investors. With a unique positioning in the sectorable to offer investor clients access to the markets with the highest potential in Europe. The group manages loans and real estate while operating across the NPLs management range at the level of strategy development, decision making and support services, in collaboration with a network of international consulting firms, real estate appraisers, brokers and lawyers. The Group has over 3.000 employees and an integrated range of five areas of activity: • Servicing of performing and early arrears loans., • Servicing of UTP loans (unlikely-to-pay)., • Servicing of NPL loans (non-performing loans)., • Servicing of real estate assets., • Services for the supply of data and other servicing ancillary services. Our Mission - Create value for our clients and shareholders by offering high-standard services to maximize their profitability through innovation and operational excellence while encouraging the sustainable development of the financial system. Our Vision - Become the reference partner of our clients offering innovative products throughout the entire life cycle of loans and real estate assets management. We are looking for a Data Scientist to support the creation of new data products for the market and to collaborate with both the local Spanish team and Group/holding functions. This role offers the opportunity to grow your technical skills, contribute to strategic data projects, and act as a link between teams at different organizational levels. You are a Spanish speaker with professional English proficiency, comfortable working in an international environment Main roles and responsabilities • Act as a point of contact between the Group Data Strategy team and the local Spanish team, helping ensure clear communication and alignment., • Support the local contribution to Group data initiatives, providing feedback on data availability, local needs, and business context., • Help ensure that Group data standards and methodologies are correctly applied in local projects., • Apply basic statistical, analytical, and machine‑learning techniques to contribute to models, indicators, and insights for new data products., • Explore internal and external datasets to identify opportunities for new features and analytical improvements., • Perform exploratory data analysis (EDA) to assess data quality and understand trends or patterns., • Produce clear documentation, visualizations, and presentations to communicate the logic, methodology, and value of proposed data product features., • Contribute to the continuous improvement of our data science methodologies and product innovation pipeline. Skills requiered • 2–3 years of professional experience, ideally within structured environments such as consulting firms or large organizations., • Bachelor degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field, • Proven track record in Data projects, with hands-on involvement in analytics, modeling, and data-driven solutions., • Proficient in SQL, Python, and Power BI for data manipulation, analysis, and visualization., • Strong knowledge of Microsoft ecosystem, with experience in Azure and Databricks environments highly preferred., • Familiarity with data governance principles and scalable data architectures, • Fuent in English and Spanish Personal & Organizational Skills: • Highly reliable, organized, and detail-oriented, capable of managing tasks with a project management mindset., • Ability to maintain structured workflows and documentation even in technical roles., • Strong soft skills: team player, positive attitude

Data Engineer (Python, Spark, Cloud) Axpe Consulting – España | 100% Remoto | Proyecto estable 📍 Ubicación: Remoto 💼 Proyecto de largo plazo en entornos enterprise, con impacto real en plataformas de datos a gran escala 🌍 Inglés alto (B2 o superior) – colaboración con equipos internacionales En Axpe Consulting buscamos un/a Senior Data Engineer para incorporarse a proyectos estratégicos de datos, trabajando con grandes volúmenes de información, arquitecturas modernas y plataformas cloud líderes del mercado. El rol tiene un fuerte componente técnico y de liderazgo, participando tanto en la construcción como en la definición de soluciones de datos escalables, seguras y orientadas a analítica avanzada y Machine Learning. 💼 Responsabilidades • Diseño, desarrollo y mantenimiento de pipelines de datos a gran escala en entornos cloud y on-premise., • Procesamiento distribuido de datos utilizando PySpark, SparkSQL y Python., • Diseño y optimización de consultas SQL y NoSQL para entornos analíticos de alto rendimiento., • Modelado de datos y definición de arquitecturas analíticas (Data Lake, Lakehouse, Data Warehouse)., • Liderazgo técnico en proyectos de datos y coordinación con equipos multidisciplinarios (Data, Cloud, Arquitectura, Negocio)., • Definición de estrategias de datos junto a arquitectos y stakeholders técnicos., • Implementación de buenas prácticas de calidad del dato, seguridad y gobernanza., • Participación activa en despliegues, automatización y mejora continua de las plataformas. 🛠️ Stack tecnológico Procesamiento y plataformas de datos • Python, PySpark, SparkSQL, • Databricks, • Snowflake, • AWS (Glue, Redshift, S3, EMR), • Azure (Fabric, Data Factory, Synapse), • GCP (BigQuery, Dataproc, Cloud Storage) DevOps & buenas prácticas • Azure DevOps, Jenkins, GitLab CI, • Automatización de despliegues, • Seguridad cloud y control de accesos, • Versionado y testing de pipelines de datos ✅ Requisitos obligatorios • +5 años de experiencia como Data Engineer en entornos enterprise., • Experiencia sólida trabajando con grandes volúmenes de datos., • Dominio avanzado de Python, PySpark y SparkSQL., • Amplia experiencia en SQL y bases de datos analíticas., • Conocimiento profundo de modelado de datos y arquitecturas analíticas., • Experiencia trabajando en entornos cloud (AWS, Azure o GCP)., • Capacidad de liderazgo técnico y toma de decisiones., • Inglés alto (B2 o superior) para colaboración internacional. 🌱 Se valorará especialmente • Experiencia en arquitecturas Lakehouse., • Conocimientos de Data Governance y Data Quality., • Certificaciones en Snowflake, Databricks, AWS, Azure o GCP., • Experiencia en proyectos internacionales o multi-país., • Background en sectores como banca, retail o industria. 🎓 Formación • Titulación en Ingeniería Informática, Telecomunicaciones o áreas afines. 🌍 ¿Qué ofrecemos? • Proyecto estable y de largo recorrido., • Trabajo 100% remoto desde España., • Entorno técnico avanzado, con tecnologías líderes de mercado., • Rol con peso real en decisiones técnicas y de arquitectura., • Colaboración con equipos y clientes internacionales., • Crecimiento profesional, formación continua y certificaciones. #DataEngineer #SeniorDataEngineer #BigData #PySpark #Databricks #Snowflake #CloudData #AWS #Azure #GCP

ALTEN is a leading technology consulting and engineering company, present in more than 30 countries and with more than 57,000 professionals worldwide. In Spain, we work alongside companies and public bodies to develop innovative solutions that drive digital transformation and operational efficiency. Role Overview As an AI Expert at Alten, you will provide technical leadership and expertise across consulting engagements, pre-sales activities, and project delivery. You will guide clients and internal teams through the full AI lifecycle, from use case identification to industrialization, while ensuring alignment with best practices and emerging technologies. Global Responsibilities Deliver consulting support, pre-sales support, and project delivery for AI-related initiatives. Act as a trusted advisor for clients and internal teams on AI strategy, architecture, and implementation. Contribute to the growth of Alten’s AI practice through innovation, knowledge sharing, and recruitment. Consulting & Pre-Sales Support sales teams during opportunity qualification, RFP responses, and client meetings for AI-related scopes. Assist in qualifying opportunities and responding to RFPs for AI-related scopes. Support sales teams during client meetings and proposal preparation. Project Delivery Lead use case qualification during audits and assessments. Prepare and share audit reports, including technical solutions, cost estimates, and ROI analysis. Act as a technical advisor for POCs and industrialization phases. Participate in POC development when technically required. Ensure reuse of Alten AI “Accelerators” and compliance with data and technical standards. Innovation & Evangelization Maintain continuous awareness of AI trends and emerging technologies. Design and build demonstrators when needed, showcasing Alten’s AI capabilities. Represent Alten at industry events, conferences, and webinars. Conduct workshops and client committees to promote AI adoption. Internal Contributions Share best practices and technical knowledge across teams. Support skill development and training initiatives for consultants. Participate in recruitment and mentoring of AI talent. Required Qualifications Master’s degree (or equivalent) in Computer Science, Data Science, or related field. At least 5 years of experience delivering AI projects (ML, DL, NLP, CV, etc.). Strong expertise in one or more AI-related languages, frameworks, and tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn, PySpark, LangChain, HuggingFace, etc.). Ability to act as technical advisor or tech lead for Data Scientists teams. Valued Skills Experience with one or more cloud environments (Azure, AWS, GCP) and associated AI services (e.g., Azure AI Foundry, Microsoft Fabric, AWS Sagemaker, AWS Bedrock, Vertex AI). Hands-on experience with Generative AI (e.g. LLM, Multimodal LLM, RAG, etc.). Previous experience in consulting or IT services companies (ESN). Knowledge of MLOps/LLMOps principles (CI/CD, monitoring, etc.). Fundamental knowledge of data governance, security, and compliance in AI projects. Soft Skills Excellent communication and presentation skills for client-facing interactions. Strong problem-solving mindset and adaptability in fast-changing environments. Ability to work collaboratively in cross-functional teams and worldwide environments. Typical Technical Environment for Information Only AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers Generative AI & LLM Tools: OpenAI APIs, LangChain, RAG frameworks Cloud Platforms & Services: Azure (Machine Learning, Cognitive Services, Azure AI Foundry), AWS (SageMaker, Bedrock), GCP (Vertex AI) MLOps & Deployment Tools: MLflow, Kubeflow, Docker, Kubernetes This role requires availability to travel across Spain.

AI Engineer – Madrid ¿Tiene las habilidades necesarias para este puesto? Lea todos los detalles a continuación y presente su candidatura hoy mismo. Location: Madrid, Spain Salary: Up To €110,000 Hiring on behalf of: A confidential, high‑growth technology & consulting organisation We’re partnering with a leading international client that is building a brand‑new centre of excellence in Madrid and looking to hire exceptional AI Engineers who are passionate about solving complex problems, building cutting‑edge AI solutions, and shaping the foundations of a world‑class engineering culture. If you thrive in fast‑paced, intellectually demanding environments and want to work on high‑impact initiatives from day one, this opportunity could be the perfect fit. About Our Client Our client is a newly formed, high‑profile technology venture backed by two globally recognised organisations. Their mission is to bring together top technical talent to deliver AI‑driven, commercially meaningful solutions across multiple business domains. This is a rare chance to join at an early stage and help shape both the technical direction and team culture as the organisation grows. Culture & Ways of Working While the team is new, certain principles are non‑negotiable: • Hiring exceptional technical talent with outstanding communication skills, • Deep collaboration between engineers, product teams, and business stakeholders, • Curiosity, positivity, and a passion for learning, • Ownership, accountability, and pride in delivery, • Problem‑solvers who thrive when working at pace Responsibilities As an AI Engineer, you will: • Take end‑to‑end ownership of AI‑centric technical products and projects, • Build and deploy machine learning systems that address real‑world commercial challenges, • Translate business problems into well‑framed AI opportunities, • Challenge existing processes to drive innovation and improve outcomes, • Stay up to date with fast‑moving AI advancements We are seeking candidates with strong theoretical grounding AND hands‑on experience: • Deep understanding of machine learning fundamentals, • Experience deploying LLMs in production (prompting, agent workflows, retrieval pipelines, evals, etc.), • Knowledge of LLM inference techniques (KV caching, speculative/parallel decoding, etc.), • Strong programming skills xcskxlj in Python + one of C++, Java or .NET, • SQL experience, • Experience with Azure or AWS, • Excellent communication and stakeholder engagement skills, • An entrepreneurial mindset with a bias for action, • Ability to manage AI projects end‑to‑end, • Financial services experience is a plus (not essential), • Work with cutting‑edge AI technologies and help shape the technical roadmap, • Immediate influence and ownership of impactful projects, • Collaborate with some of the brightest talent in Europe, • Projects tied to real‑world events, markets, and emerging trends, • Direct exposure to senior stakeholders and domain experts, • Opportunity to help define a new team, new culture, and new standards

Davidson Consulting España nace en el año 2014. Formamos parte del grupo Davidson, multinacional francesa de servicios tecnológicos con +18 años de experiencia en el sector y presencia en varios países europeos además de en Canadá. Somos 3000 compañeros a nivel global. En España nos caracterizamos por ser un equipo de más de 150 profesionales altamente cualificados y apasionados por el mundo de la tecnología y la innovación. Por ello, nuestro objetivo es seguir aumentando el equipo para continuar involucrados en proyectos nacionales e internacionales de gran envergadura. Por favor, lea detenidamente la información de esta oferta de empleo para entender exactamente qué se espera de los posibles candidatos. Arquitecto/a de Datos Davidson Consulting España , parte de un grupo internacional de servicios tecnológicos con presencia en Europa y Canadá, busca incorporar un/a Arquitecto/a de Datos para liderar la definición y evolución de la arquitectura de datos en un entorno corporativo complejo. El rol está enfocado a la construcción de una arquitectura escalable, gobernada y orientada a casos de uso analíticos avanzados, garantizando la calidad, disponibilidad y trazabilidad del dato a lo largo de todo su ciclo de vida. Responsabilidades técnicas: Arquitectura de datos: Definición de arquitecturas end-to-end (source → ingestion → storage → consumption). Diseño de modelos de integración híbridos: batch, streaming y CDC. Implementación de principios API-first , arquitecturas orientadas a eventos y desacoplamiento de sistemas. Definición de estrategias de Data Lake, Data Warehouse y Lakehouse . Diseño de modelos de datos (relacional, dimensional, Data Vault). Integración y procesamiento: Diseño de pipelines de datos (ingestión, transformación, exposición). Optimización de procesos ETL/ELT en entornos cloud. Definición de estándares de: versionado de datos, particionado, gestión de históricos (SCDs) y optimización de consultas y costes. Implementación de prácticas DataOps (CI/CD, testing de datos, monitorización). Gobierno del dato: Definición de frameworks de Data Governance . Gestión de: Data Quality (DQ rules, profiling, cleansing), Metadata (catálogos, glosarios) y Data Lineage (trazabilidad end-to-end) Implementación de estrategias de Master Data Management (MDM) . Soporte a analítica avanzada: Diseño de estructuras optimizadas para: reporting corporativo, métricas de negocio y casos de uso de Machine Learning. Preparación de datasets para feature engineering y modelos ML. Alineación con arquitecturas de IA (batch y near real-time). Seguridad y compliance: Implementación de controles de seguridad a nivel de datos: cifrado en tránsito y en reposo, y control de accesos (RBAC/ABAC). Cumplimiento de normativas (GDPR, DORA). Diseño de soluciones resilientes: backup, replicación y disaster recovery. Coordinación técnica: Interlocución con equipos de: Data Engineering, arquitectura, desarrollo y negocio. Supervisión técnica de proveedores y soluciones externas. Definición de estándares y buenas prácticas a nivel corporativo. Requisitos técnicos: +5 años de experiencia en Data Architecture / Data Engineering . Experiencia en entornos cloud (AWS, Azure o GCP). Experiencia con plataformas analíticas (valorable Snowflake ). Dominio de SQL avanzado . Experiencia en diseño de APIs (REST) y arquitecturas orientadas a eventos. Conocimiento sólido de: ETL/ELT , Data Modeling (dimensional, relacional, Data Vault), CDC (Change Data Capture), MDM y Data Quality & Data Governance. Experiencia trabajando con sistemas transaccionales complejos (valorable sector bancario/financiero). Formación Grado en Ingeniería (Informática, Telecomunicaciones, Matemáticas o similar). Valorable formación de posgrado en Big Data, Cloud o Arquitectura de Datos. Qué ofrecemos: Participación en proyectos de alta complejidad técnica. Entorno orientado a arquitectura moderna de datos (cloud & data-driven). Plan de desarrollo profesional. xiphteb Paquete retributivo acorde a experiencia.

Davidson Consulting España nace en el año 2014. Formamos parte del grupo Davidson, multinacional francesa de servicios tecnológicos con +18 años de experiencia en el sector y presencia en varios países europeos además de en Canadá. Somos 3000 compañeros a nivel global. En España nos caracterizamos por ser un equipo de más de 150 profesionales altamente cualificados y apasionados por el mundo de la tecnología y la innovación. Por ello, nuestro objetivo es seguir aumentando el equipo para continuar involucrados en proyectos nacionales e internacionales de gran envergadura. Revise detenidamente toda la documentación de la solicitud antes de hacer clic en el botón de solicitar al final de esta descripción. Arquitecto/a de Datos Davidson Consulting España, parte de un grupo internacional de servicios tecnológicos con presencia en Europa y Canadá, busca incorporar un/a Arquitecto/a de Datos para liderar la definición y evolución de la arquitectura de datos en un entorno corporativo complejo. El rol está enfocado a la construcción de una arquitectura escalable, gobernada y orientada a casos de uso analíticos avanzados, garantizando la calidad, disponibilidad y trazabilidad del dato a lo largo de todo su ciclo de vida. Responsabilidades técnicas: Arquitectura de datos: Definición de arquitecturas end-to-end (source → ingestion → storage → consumption). Diseño de modelos de integración híbridos: batch, streaming y CDC. Implementación de principios API-first, arquitecturas orientadas a eventos y desacoplamiento de sistemas. Definición de estrategias de Data Lake, Data Warehouse y Lakehouse. Diseño de modelos de datos (relacional, dimensional, Data Vault). Integración y procesamiento: Diseño de pipelines de datos (ingestión, transformación, exposición). Optimización de procesos ETL/ELT en entornos cloud. Definición de estándares de: versionado de datos, particionado, gestión de históricos (SCDs) y optimización de consultas y costes. Implementación de prácticas DataOps (CI/CD, testing de datos, monitorización). Gobierno del dato: Definición de frameworks de Data Governance. Gestión de: Data Quality (DQ rules, profiling, cleansing), Metadata (catálogos, glosarios) y Data Lineage (trazabilidad end-to-end) Implementación de estrategias de Master Data Management (MDM). Soporte a analítica avanzada: Diseño de estructuras optimizadas para: reporting corporativo, métricas de negocio y casos de uso de Machine Learning. Preparación de datasets para feature engineering y modelos ML. Alineación con arquitecturas de IA (batch y near real-time). Seguridad y compliance: Implementación de controles de seguridad a nivel de datos: cifrado en tránsito y en reposo, y control de accesos (RBAC/ABAC). Cumplimiento de normativas (GDPR, DORA). Diseño de soluciones resilientes: backup, replicación y disaster recovery. Coordinación técnica: Interlocución con equipos de: Data Engineering, arquitectura, desarrollo y negocio. Supervisión técnica de proveedores y soluciones externas. Definición de estándares y buenas prácticas a nivel corporativo. Requisitos técnicos: ~+5 años de experiencia en Data Architecture / Data Engineering. ~ Experiencia en entornos cloud (AWS, Azure o GCP). ~ Experiencia con plataformas analíticas (valorable Snowflake). ~ Dominio de SQL avanzado. ~ Experiencia en diseño de APIs (REST) y arquitecturas orientadas a eventos. ~ Conocimiento sólido de: ETL/ELT , Data Modeling (dimensional, relacional, Data Vault), CDC (Change Data Capture), MDM y Data Quality & Data Governance. ~ Experiencia trabajando con sistemas transaccionales complejos (valorable sector bancario/financiero). Formación Grado en Ingeniería (Informática, Telecomunicaciones, Matemáticas o similar). Valorable formación de posgrado en Big Data, Cloud o Arquitectura de Datos. Qué ofrecemos: Participación en proyectos de alta complejidad técnica. Entorno orientado a arquitectura moderna de datos (cloud & data-driven). Plan de desarrollo profesional. Paquete retributivo acorde a experiencia. xiphteb Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Te apasiona el BigData? ¿Quieres formar parte de un equipo con una de las trayectorias más solventes en el mundo del Machine Learning, Analytics y BigData? ¿Te apetece trabajar en una compañía joven, participativa y especializada? En Matica Partners, trabajamos continuamente para mantenernos a la vanguardia tecnológica, y además somos una empresa People Centric, donde ponemos al trabajador en el centro de todo lo que hacemos. Creemos en una cultura horizontal, sin egos, en un entorno donde se valoran tanto las ideas como las personas. Buscamos 1 Data Engineer de unos 2 años de experiencia para incorporarse dentro de uno de los proyectos de una gran compañía global de retail. Buscamos a alguien que haya trabajado en todas las etapas del ciclo de vida de proyectos de Data: desde la preparación de datos, transformación y hasta su puesta en producción. Queremos destacar especialmente este último punto: buscamos personas que, al igual que nosotros, no se conformen con las pruebas de concepto, sino que se impliquen en la puesta en producción real de los procesos de Data. ¿Diseñarás y mantendrás pipelines ETL/ELT con PySpark y Databricks , orquestarás flujos con Airflow y liderararás la migración del equipo hacia DBT (SQL + exploración de Python en DBT). A nivel técnico: Muy buen nivel de Python y PySpark. Experiencia en la creación de pipelines de datos. Buena capacidad de comunicación y trabajo en equipo. Experiencia en el uso de Databricks, Airflow y Cloud (AWS, Azure, GCP). También es importante tener un buen nivel de inglés, ya que muchos de nuestros proyectos serán para clientes internacionales. ¿Contrato indefinido y un salario competitivo, en este caso entre los 28.000 y 32.000 euros brutos/año de entrada, ajustado según tu experiencia (nuestro plan de carrera incluye 2 revisiones anuales). También tendrás a tu disposición un plan de formación especializado, participación en la propiedad y los beneficios de Grupo Mática: Wetaca gratuito en la oficina dos días a la semana, horario flexible con facilidades para trabajar desde donde quieras, seguro de salud y un divertido welcome kit con portátil (podrás escoger entre varios modelos Mac o Windows), móvil, botella personalizada, auriculares bluetooth y golosinas. Cuando estés en nuestra oficina, en el centro de Barcelona o Madrid, la fruta, los cafés y los refrescos corren a cuenta de Mática. ¡Ah! Y si eres amante de los animales, te gustará saber esto: ¡nuestras oficinas son Pet-friendly!

AI Engineer – Madrid Location: Madrid, Spain Salary: Up To €110,000 Hiring on behalf of: A confidential, high‑growth technology & consulting organisation We’re partnering with a leading international client that is building a brand‑new centre of excellence in Madrid and looking to hire exceptional AI Engineers who are passionate about solving complex problems, building cutting‑edge AI solutions, and shaping the foundations of a world‑class engineering culture. If you thrive in fast‑paced, intellectually demanding environments and want to work on high‑impact initiatives from day one, this opportunity could be the perfect fit. About Our Client Our client is a newly formed, high‑profile technology venture backed by two globally recognised organisations. Their mission is to bring together top technical talent to deliver AI‑driven, commercially meaningful solutions across multiple business domains. This is a rare chance to join at an early stage and help shape both the technical direction and team culture as the organisation grows. Culture & Ways of Working While the team is new, certain principles are non‑negotiable: Hiring exceptional technical talent with outstanding communication skills Deep collaboration between engineers, product teams, and business stakeholders Curiosity, positivity, and a passion for learning Ownership, accountability, and pride in delivery Problem‑solvers who thrive when working at pace A focus on practical, real‑world impact — not just building models This is an environment for people who want to push boundaries and elevate the standard of what AI teams can deliver. Responsibilities As an AI Engineer, you will: Take end‑to‑end ownership of AI‑centric technical products and projects Build and deploy machine learning systems that address real‑world commercial challenges Translate business problems into well‑framed AI opportunities Challenge existing processes to drive innovation and improve outcomes Stay up to date with fast‑moving AI advancements Make an immediate impact — you will be trusted and empowered from day one What Our Client Is Looking For We are seeking candidates with strong theoretical grounding AND hands‑on experience: Deep understanding of machine learning fundamentals Experience deploying LLMs in production (prompting, agent workflows, retrieval pipelines, evals, etc.) Knowledge of LLM inference techniques (KV caching, speculative/parallel decoding, etc.) Strong programming skills in Python + one of C++, Java or .NET SQL experience Experience with Azure or AWS Excellent communication and stakeholder engagement skills An entrepreneurial mindset with a bias for action Ability to manage AI projects end‑to‑end Financial services experience is a plus (not essential) Degree in Computer Science, Mathematics, Engineering, or similar from a reputable university Why This Role Stands Out Work with cutting‑edge AI technologies and help shape the technical roadmap Immediate influence and ownership of impactful projects Collaborate with some of the brightest talent in Europe Projects tied to real‑world events, markets, and emerging trends Direct exposure to senior stakeholders and domain experts Opportunity to help define a new team, new culture, and new standards

Senior Machine Learning Operations Engineer Location: Remote from Spain (an indefinite Spanish employment contract) Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias' mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. Requirements: 5+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems Proficient Python and strong software engineering principles Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform) Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP) Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop) Process automation and enterprise integrations Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders' leadership At least Upper-intermediate level of English Nice to have: Master or higher degree in Computer Science, Engineering, or related field On-prem LLM deployments; performance and cost tuning with caching and model routing AI safety, policy, and compliance experience in sensitive environments Public speaking and enablement and building reusable accelerators Domain exposure in automotive, retail, manufacturing, healthcare, energy, finance, or telecom Responsibilities: Lead discovery with stakeholders and define adoption roadmaps and reference architectures Set lifecycle practices for GenAI (LLMOps) Architect retrieval and provider layers (RAG, vector stores, model gateways) with portability, cost, and compliance in mind Implement RAG/agent workflows that orchestrate tool-calling, retrieval, and grounded answering Enable agentic applications at platform level and define solution patterns and evaluation gates (standardized tools, routing, shared memory, HIL, safe fallbacks) aligned with enterprise integration, security, and cost Set standards for ingestion, chunking, embedding, and indexing pipelines; select and tune vector databases for retrieval Establish CI/CD, Infrastructure-as-Code, observability, and automated testing Define governance and safety guardrails Establish environment strategy and promotion paths, and a clear handover plan to client teams Package reusable patterns/accelerators, mentor engineers, and support presales and proposals.

¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales? En STRATESY S estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti. Estamos buscando un perfil de AI Engineer para incorporarse a nuestro equipo dentro del departamento de Innovation&AI: ¿Qué harás en tu día a día?: Construir pipelines de datos para ingesta, limpieza, transformación y extracción de features. Participar en el diseño, entrenamiento, evaluación y validación de modelos de ML y soluciones basadas en LLMs. Colaborar en la definición de métricas técnicas y de negocio (precisión, grounding, coste, latencia, éxito de tareas). Implementar agentes basados en LLMs utilizando frameworks como LangChain, Semantic Kernel, AutoGen o equivalentes. Diseñar agentes capaces de interactuar con herramientas, APIs internas, workflows empresariales y bases de conocimiento. Participar en la construcción de RAG agents, agentes especializados por dominio, agentes de planificación y agentes orquestadores. Diseñar y refinar prompt flows, memoria contextual y estrategias de control para mejorar fiabilidad y trazabilidad Contribuir al diseño de guardrails, validaciones y mecanismos de Human-in-the-Loop. Medir y analizar el comportamiento de los agentes: desviaciones de instrucciones, errores, costes, latencia y robustez.. Colaborar en despliegues en entornos cloud (Azure, AWS o GCP). Apoyar tareas de monitorización, logging y observabilidad de modelos y agentes (drift, fallos, degradación). Mantener documentación técnica, notebooks reproducibles y artefactos de proyecto. ¿Qué buscamos?: Conocimientos sólidos en Python, Git y buenas prácticas de desarrollo. Bases de machine learning y LLMs: modelos generativos, métricas y experimentación. Conocimientos iniciales de RAG, embeddings y bases vectoriales (FAISS, Azure AI Search, Pinecone o similares). Familiaridad con frameworks de agentes o motivación clara por profundizar en Agentic Systems. Experiencia básica en APIs, Docker, testing y CI/CD. Capacidad analítica, orientación a calidad y aprendizaje continuo. ¿Qué valoramos?: Experiencia o conocimientos en Azure ML, Azure OpenAI o Databricks. Front-end ligero para demos (React / Next.js + TypeScript). Nociones de arquitecturas multi-agente, planificación y enrutado avanzado de herramientas. Principios de Responsible AI, privacidad, mitigación de sesgos y control de riesgos. Qué of r ecemos: ✨ Crecimiento profesional: Oportunidad de liderar iniciativas estratégicas en un entorno dinámico. Formación continua con certificaciones técnicas. Retribución flexible (seguro médico privado, tarjeta restaurant, ayuda al transporte, cheques de guardería) Descuentos comerciales exclusivos. ️ Plataforma gratuita de idiomas (Inglés, Francés, Alemán, Portugués, Chino...) ☀️Jornada intensiva de julio y agosto y viernes durante todo el año. Evaluaciones anuales en las que se determinará tu plan de carrera así como formación personalizada en base a tu experiencia y preferencias. -Posibilidad de teletrabajo. Sobre nosotros: Somos un hub nativo digital entre Europa y América, con la misión de transformar el negocio de nuestros clientes, orientando sus inversiones tecnológicas hacia el futuro y mejorando sus cuentas de resultados, ingresos y valor. Contamos con una valiosa experiencia en múltiples campos como telecomunicaciones, energía, construcción, consumo, retail, transportes, farmacia, banca, sanidad, turismo… Nuestra oferta multiplataforma, adaptada a cada industria, nos permiten definir, implementar y evolucionar estrategias tecnológicas y digitales únicas en cada sector en el que operan nuestros clientes. 1ª firma experta en SAP con triple certificación ISO 9001 20015, ISO/IEC 33000 y ISO/IEC 27001 y única compañía en España con Nivel 4 de madurez en ISO/IEC 3300. Contamos con una presencia fuerte y consolidada en Europa y América, apoyada en un equipo de 1.800+ profesionales desplegados a lo largo de nuestra extensa red de oficinas y centros global shore’ localizados a uno y otro lado del Atlántico. Esta ventaja competitiva nos posiciona como un proveedor global con visión de ‘hub’ entre ambos continentes, compañero de viaje de referencia para acompañar las inversiones tecnológicas y la expansión de compañías con operaciones en Europa y América.