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DevOps Engineer Build38 is a cyber security start-up that takes care of securing mobile apps. We enable all sorts of solution providers (from car manufacturers to banks, from public transit operators to identity providers) to deliver their mobile use cases in a secure manner. We already protect millions of Android and iOS endpoints with our SDK which, together with our backend analytics platform, provides the most comprehensive mobile app security solution in the market. We are looking for a “DevOps Engineer” with 3-6 years experience for our growing team. You will work closely with the development team, setting up and managing the infrastructure, establishing enhancements in the processes, and supporting continuous integration, delivery, and deployment in the cloud. Here is a little taste of your challenge: • Design and improve our architecture leveraging the latest technologies and approaches like microservices, containers, and cloud computing., • System performance monitoring, tuning, and troubleshooting., • Infrastructure automation, orchestration, and security., • Work closely with the development team to improve performance., • Write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks., • Provide environment set up according to cross-team needs., • Designing, implementing, and testing CI / CD pipelines. Who are you? There is no set route to become part of Build38. But to be successful in this role, this is the kind of profile we have in mind: • Computer Science degree or similar., • Experience in building and managing high availability, high-performance environments with containers or cloud environments. Kubernetes knowledge is a plus., • Strong background in Linux/Unix Administration., • Solid experience in the administration and performance tuning of application stacks (e.g., Tomcat, JBoss, Apache, Ruby, NGINX)., • Background using automation tools (Terraform, Ansible, etc..), • Solid Cloud experience in AWS., • Automation is important for you., • Team player: you are open to ego-free discussions., • Be a mentor: you like coaching Junior team members. Practically Speaking, what's in it for you: • Optimized onboarding – for your optimal start and your customized induction., • Enthusiastic team – waiting to help you succeed., • Internationality – three locations worldwide with employees on 3 continents., • Simplicity – because we like to make it easy and practical., • Greenfield – where you can explore and bring in your experience., • Well-known customers – from the German and international economy., • Beautiful office spaces in Barcelona with regular team/community events (breakfast, lunch, beers…)., • Good transport connections – easy to reach by public transport., • Attractive performance-based remuneration model – as motivation for YOUR motivation., • Flexible working hours & Hybrid working! Tell us what excites you about security for mobile apps and what your passion and future plans are. We want to get to know YOU and know who YOU are.

We are looking for a curious, technically skilled, and hands-on Implementation Engineer (Industrial IoT – Edge & Cloud) who is eager to take ownership of how edge computing platforms integrate with real-world energy infrastructures. If you're passionate about technology, renewable energy, and building robust systems that scale… this could be your next big move. About the Company As Implementation Engineer, you’ll play a pivotal role in bridging field operations with cloud infrastructure. You'll lead the onboarding of battery energy storage systems into a cutting-edge platform, ensuring stable, secure, and scalable integration across edge devices, software stacks, and industrial networks. You'll be part of a multidisciplinary team working at the intersection of IoT, cloud, and energy systems — and your contributions will have a tangible impact on the efficiency and intelligence of renewable energy infrastructures. What will you be doing? 1. Asset Integration & Connectivity (Core focus) • Lead the technical onboarding of utility-scale battery storage systems into the company’s data platform and edge IoT stack., • Deploy and configure proprietary edge devices to ingest and transmit data reliably and securely., • Establish communication with site-level components (EMS, BMS, inverters) using industrial protocols like Modbus, MQTT, or OPC UA., • Ensure secure connections and data flows from field to cloud., • Optimize future onboarding processes through internal tools and configuration templates (YAML/JSON)., • Troubleshoot device installation, network, and data ingestion issues., • Coordinate with project managers and customers to ensure successful and timely deployments., • Contribute to CI pipelines and performance/stability testing of edge components. 2. Software Provisioning & Configuration • Configure and maintain edge device software stacks (versioning, patching, settings)., • Keep accurate technical records of each deployed system., • Help modularize integration logic to enable configuration-driven workflows., • Work closely with developers to improve observability and diagnostics on edge deployments. 3. Customer Enablement & Long-Term Support • Build strong relationships with customer operations and technical teams., • Guide users on data interpretation and usage through the platform., • Monitor observability metrics, detect anomalies, and contribute to performance reviews. 4. Pre-Sales Technical Support (occasional) • Join sales calls to assess integration feasibility and define technical requirements., • Prepare effort estimations and integration plans for prospective clients., • Support proposal building with realistic technical assumptions. 5. Support & Troubleshooting • Act as Tier 1–2 support for edge device, network, and data pipeline issues., • Work with engineering to resolve edge-related bugs and platform inconsistencies., • Document issues and provide actionable feedback to product and hardware teams. 6. Internal Enablement • Maintain technical documentation, setup guides, and onboarding resources., • Share learnings from the field to improve roadmap and tooling. What you bring • Degree in Engineering (Telecommunications, Electronics, Computer Science, or similar)., • 3+ years of experience in systems integration, commissioning, or technical operations — ideally in energy, BESS, or industrial automation., • Proficient in Linux systems and Git-based environments., • Strong skills in scripting/debugging, ideally in Python., • Hands-on with Docker, CI pipelines (e.g., GitHub Actions, AWS CodeBuild)., • Comfortable with structured configuration formats (YAML/JSON)., • Solid grasp of protocols like Modbus TCP/IP, MQTT, OPC UA., • Fluent English (C1 minimum)., • Experience integrating SCADA, EMS, or other energy systems., • Background in edge computing or data/config-driven device onboarding., • Familiarity with AWS IoT, OpenTelemetry, Kafka, Grafana, or similar tools., • Knowledge of telemetry optimization and device limits in resource-constrained environments., • A strong QA mindset with attention to detail in testing and field validation. What’s in it for you? • Join a purpose-driven company in a booming industry: clean tech and energy storage., • Work closely with senior professionals in marketing, product, and business—ideal for accelerated learning., • Contribute directly to meaningful projects and take real ownership of your work., • Hybrid work model (Barcelona-based)., • Full-time contract, • Gross annual salary range 50K-55K

Job Responsibilities • IT Resource Management: Responsible for operation and maintenance of server resource pools, including public cloud deployment and dedicated tenant systems (e.g., TPS, ROTA, PRIX, SOC). Analyze and troubleshoot server and business system issues., • Monitoring & Analysis: Analyze and handle monitoring and alert logs of business systems and servers., • Service Release: Manage service releases for business platform version iterations., • Database Operations: Conduct routine inspection and maintenance of databases (SQL stack)., • Issue Troubleshooting: Quickly identify and resolve application and business system operation issues, and coordinate cross-functional teams to ensure smooth execution., • O&M Documentation: Record and output daily operation and maintenance activities, and develop standardized documentation and archives., • Language: Use English as the daily working language for both verbal and written communication. Job Requirements • Education: Bachelor’s degree or above in Computer Science, Information Technology, or related fields preferred., • Experience: At least 2 years of working experience in internet, cloud computing, or IT-related fields., • Technical Skills:, • Proficient in Linux commands., • Hands-on experience with cloud platforms (AWS, Alibaba Cloud, Huawei Cloud, etc.)., • Basic data management and query skills., • Experience with containerization (Docker, Kubernetes) is a plus., • Communication: Strong communication and teamwork skills, able to resolve complex customer issues effectively., • Documentation: Capable of creating and maintaining operation and maintenance documentation and records., • Stress Management: Able to work under pressure., • Language Skills:, • Fluent English for daily communication (spoken and written)., • Proficiency in Spanish, French, or German is an advantage., • Strong Chinese writing skills are preferred.

-- EN --- Localisation : Barcelone (Hybride) Role Overview : We are looking for an experienced AI Conversational Engineer with a proven track record in voicebots to lead the design, configuration, and optimization of conversational AI solutions. The consultant will be involved in a major customer experience transformation project, working on two distinct platforms: • Cognigy (NLU + LLM), • Internal AI Agent Foundry (LLM / AI Agents) This is a hybrid role combining: • Engineering (setup & integration of voicebots), • Prompt Engineering (design & optimization of interactions), • Conversation Design (structuring user journeys & conversation guidelines) The role requires a versatile profile, capable of managing the full lifecycle of a voicebot while ensuring a smooth, high-performing, and business-aligned user experience. Key Points : The IAG Technology Team provides a collaborative and dynamic environment. We design and deliver new products and services together with our clients, combining expertise, creativity, and agility. • Join an international team passionate about AI and innovation, • Take on a key role with a strong impact on project success, • Work in a culture focused on tangible deliverables and rapid adoption, • Contribute to a flagship project in conversational AI and voicebots Main Responsibilities : • Engineering & Integration: Configure and deploy voicebots on Cognigy and internal Foundry; integrate NLU/LLM modules; manage STT/TTS components, • Prompt Engineering: Design, draft, and optimize robust prompts; structure hybrid NLU + LLM flows; ensure output quality and consistency, • Conversation Design: Define intents, entities, and user journeys; design conversation guidelines (tone, style, fallback); align solutions with business use cases, • Testing & Continuous Optimization: Implement performance KPIs (intent recognition rate, fallback rate, user satisfaction); test, measure, and iterate for continuous improvement, • Collaboration & Advisory: Work closely with business and technical teams to identify requirements, propose tailored solutions, and support deployment into production Qualifications : Education : Master’s in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent. Experience : Minimum 3–5 years’ experience deploying chatbots/voicebots in production • Strong expertise in NLU platforms (Cognigy, Dialogflow, Rasa, or equivalent) and LLMs (OpenAI, Anthropic, Llama, Mistral, etc.), • Knowledge of Agentic AI and agent-based architectures, • Familiarity with STT/TTS solutions (Speech-to-Text / Text-to-Speech), • Experience working in Agile methodologies Technical Skills : Prompt design & optimization in hybrid NLU/LLM contexts • Complex conversational flow configuration, • API integration & conversational workflow management, • Bot monitoring and continuous improvement practices Soft Skills : Autonomy & proactivity • Clear communication (with business & technical stakeholders), • Analytical and results-driven mindset, • Strong user experience orientation About Us : IAG France is a leading player in AI-driven transformation. Experts in product and technology design, we support clients across telecommunications, banking, insurance, consulting, and customer experience industries. Our projects focus on innovation and span multiple domains, including product design, machine learning, cloud computing, and software engineering. Leveraging cutting-edge AI/ML technologies, we deliver concrete solutions to real-world business challenges. Why join us ? • Be part of a forward-thinking company that values innovation, creativity, and clean code, • Work on impactful projects using state-of-the-art AI technologies, • Collaborate with a global team of experts passionate about AI and digital products, • Access opportunities for both personal and professional growth in a dynamic, supportive environment Start date: ASAP Duration: Several months (to be defined) Location: Barcelone (Hybride) Rate: Competitive daily rate (depending on profile) --- FR --- Localisation : Barcelone (Hybride) Rôle Overview : Nous recherchons un AI Conversational Engineer ayant de l’expérience confirmée dans le domaine des voicebots pour diriger la conception, la configuration et l’optimisation de solutions conversationnelles. Le consultant interviendra dans un projet majeur de transformation de l’expérience client, sur deux environnements distincts : • Cognigy (NLU + LLM), • AI Agent Foundry interne (LLM / AI Agents) Ce rôle hybride couvre à la fois : • l’engineering (mise en place & intégration des voicebots),, • le prompt engineering (design & optimisation des interactions),, • et le conversation design (structuration des parcours et guidelines). Le rôle nécessite un profil complet, capable de piloter l’ensemble du cycle de vie d’un voicebot et d’assurer une expérience utilisateur fluide, performante et alignée sur les objectifs business. Key Points : L’équipe technologique d’IAG offre un environnement collaboratif et stimulant. Nous développons de nouveaux produits et services en partenariat avec nos clients, en combinant expertise, créativité et agilité. • Vous rejoindrez une équipe internationale passionnée par l’IA et l’innovation., • Vous occuperez un rôle clé avec un fort impact sur la réussite du projet., • Vous travaillerez dans une culture orientée livrables concrets et adoption rapide., • Vous contribuerez à un projet de référence dans le domaine des voicebots et de l’IA conversationnelle. Responsabilités principales : • Engineering & intégration : Configurer et déployer des voicebots sur Cognigy et AI Agent Foundry, intégrer les modules NLU/LLM, gérer les composants STT/TTS., • Prompt Engineering : Concevoir, rédiger et optimiser des prompts robustes ; structurer des parcours hybrides NLU + LLM ; assurer la qualité et la cohérence des outputs., • Conversation Design : Définir les intents, entités et parcours utilisateurs ; concevoir les guidelines conversationnelles (ton, style, fallback) ; garantir l’alignement avec les cas d’usage métiers., • Tests & Optimisation continue : Mettre en place des KPIs de performance (taux de compréhension, taux de fallback, satisfaction utilisateur), tester et itérer pour améliorer les résultats., • Collaboration & Conseil : Travailler étroitement avec les équipes métiers et techniques pour identifier les besoins, proposer des solutions adaptées et accompagner la mise en production. Qualifications : Éducation : Master en informatique, IA, linguistique computationnelle ou équivalent. Expérience : • Expérience confirmée (3–5 ans min) dans le déploiement de chatbots/voicebots en production., • Maîtrise des environnements NLU (Cognigy, Dialogflow, Rasa, ou équivalent) et des LLM (OpenAI, Anthropic, Llama, Mistral…)., • Connaissances en Agentic AI et architectures d’agents., • Familiarité avec les solutions STT/TTS (Speech-to-Text / Text-to-Speech)., • Expérience en méthodologie agile. Compétences techniques : • Prompt design et optimisation des interactions hybrides NLU/LLM., • Configuration de parcours conversationnels complexes., • Intégration API et gestion de flux conversationnels., • Connaissances pratiques en monitoring de bots et amélioration continue. Compétences Leadership : • Autonomie et proactivité, • Communication claire (équipes métiers & techniques), • Esprit analytique et orienté résultats, • Sens de l’expérience utilisateur À propos de nous: IAG est un acteur de premier plan dans la transformation de l’intelligence artificielle. Experts en conception de produits technologiques, nous accompagnons nos clients dans les secteurs des télécommunications, de la banque, l’assurance, du conseil et de l’expérience client. Nos projets, axés sur l'innovation, couvrent des domaines variés tels que la conception de produits, le machine learning, le cloud computing et l’ingénierie logicielle. En exploitant les technologies IA/ML les plus avancées, nous apportons des solutions concrètes à des problématiques réelles de nos clients. Pourquoi nous rejoindre ? • Faites partie d'une entreprise avant-gardiste qui valorise l'innovation, la créativité et un code propre., • Travailler sur des projets qui ont un impact réel, en tirant parti des technologies de pointe., • Collaborer avec une équipe mondiale d'experts passionnés par l'IA et les nouvelles technologies., • Des opportunités de croissance personnelle et professionnelle dans un environnement favorable et dynamique. Si vous êtes prêt à mener la charge dans le domaine de l'IA, postulez pour rejoindre notre équipe ! Démarrage : Rapidement Durée : mission de plusieurs mois (à définir) Lieu : Barcelone (Hybride) Rémunération : TJM compétitif selon profil

AI Evaluation Data Scientist A fantastic opportunity for a driven AI Data Scientist to join a leading Quantum AI company, who work on cutting-edge solutions that make AI faster, greener, and more accessible. You’ll be working alongside world-leading experts in quantum computing and AI, with the opportunity to work on challenging projects and shape the future of Generative AI systems. This is initially a 9 Month Fixed Term Contract, with scope to extend - *Hybrid working from sites in Madrid or Barcelona. Responsibilities: Design and lead the evaluation strategy for our Agentic AI and RAG systems, turning customer workflows and business needs into measurable metrics and clear success criteria. Contribute to the end-to-end design of Agentic AI and RAG systems, injecting a data-and-evaluation perspective into retrieval strategies, orchestration policies, tool usage, and memory to solve complex, real-world problems across industries. Develop task-based, multi-step evaluations that reflect how the different components of our systems (retrieval, planning, tool use, memory) perform in real-world scenarios across cloud and edge deployments. Develop and refine rigorous evaluation frameworks that reflect real-world performance, going beyond model benchmarks to assess task success, reasoning capabilities, factual consistency, reliability, and user success metrics across diverse problem domains. Build and maintain a reproducible evaluation pipeline, including datasets, scenarios, configs, test suites, versioned assets, and automated runs to track regressions and improvements over time. Curate and generate high-quality datasets for evaluation, including synthetic and adversarial data, to strengthen coverage and robustness. Implement and calibrate LLM-as-a-judge evaluations, aligning automated scoring with human feedback and ensuring fairness, robustness, and representativeness. Perform deep error analyses and ablations to uncover failure patterns, maintain a taxonomy of failure modes (reasoning, grounding, hallucinations, tool failures), and provide actionable insights to engineers to improve model and system performance. Partner with ML specialists to create a data flywheel, where evaluation continuously informs new dataset creation, improvements on prompts, tool usage, model training, and system refinements, quantifying improvements over time. Define and monitor operational metrics (latency, cost, reliability) to ensure evaluations align with production and customer expectations. Maintain high engineering standards, including clear documentation, reproducible experiments, robust version control, and well-structured ML pipelines. Contribute to team learning and mentorship, guiding junior engineers and sharing expertise in LLM development, evaluation, and deployment best practices. Participate in code reviews, offering thoughtful, constructive feedback to maintain code quality, readability, and consistency. Required minimum Qualifications Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Physics, Engineering, or related technical fields, with relevant industry experience. Solid hands-on experience (3+ years for mid-level, 5+ years for senior) working as a Data Scientist, ML Engineer, or Research Scientist in applied AI/ML projects deployed in production environments. Strong background in evaluation of machine learning systems, ideally with experience in LLMs, RAG pipelines, or multi-agent systems. Proven ability to design and implement evaluation methodologies that go beyond static benchmarks, capturing real-world task success, reasoning, and robustness. Hands-on experience with dataset creation and curation (including synthetic data generation) for training and evaluation. Proven experience with agent-based architectures (task decomposition, tool use, reasoning workflows), RAG architectures (retrievers, vector databases, rerankers), and orchestration frameworks (LangGraph, LlamaIndex). Strong problem-solving skills, with the ability to navigate ambiguity and design practical solutions to open-ended user or business needs. Strong software engineering skills, with proficiency in Python, Docker, Git, and experience building robust, modular, and scalable ML codebases. Familiarity with common ML and data libraries and frameworks (e.g., PyTorch, HuggingFace, LangGraph, LlamaIndex, Pandas, etc.). Experience with cloud platforms (ideally AWS). Fluent in English. By applying to this role, you understand that we may collect your personal data & store & process it on our systems. For more information please see our Privacy Notice ().

Desde Q-tech nos encontramos en la búsqueda de un Enterprise Solutions Architect para incorporarse en el Área de Arquitectura Empresarial del Banc Sabadell, en Barcelona, Madrid o Alicante! El Área de Arquitectura Empresarial se encarga de definir las arquitecturas de referencia de los diferentes dominios de negocio en los que se mapean las necesidades de negocio con los sistemas y tecnologías actuales para poder establecer un modelo de evolución. Tu principal misión será cultivar relaciones con partes interesadas del negocio, mantener un conocimiento profundo de los planes estratégicos de negocios, desarrollar y mantener la arquitectura empresarial estatal actual y futura. RESPONSABILIDADES: Desarrollo de Arquitecturas de Referencia Definición y Uso: Capacidad para definir y utilizar arquitecturas de referencia que guíen el diseño y desarrollo de sistemas y soluciones Beneficios: Asegurar la coherencia, interoperabilidad y cumplimiento de estándares de la industria Comparativa de Productos de Tecnología Evaluación de Opciones: habilidad para comparar diferentes productos y tecnologías, evaluando características, costos, compatibilidad, escalabilidad y soporte Metodología: uso de matrices de comparación, pruebas de concepto (PoC) y benchmarks para evaluar el rendimiento y adecuación de cada producto Herramientas: familiaridad con herramientas y recursos como Gartner Magic Quadrant, Forrester Wave, y revisiones de productos en sitios especializados Visión Estratégica Definición: capacidad para desarrollar una visión estratégica a largo plazo sobre cómo la tecnología puede apoyar y mejorar los objetivos de negocio de la organización Implementación: desarrollo de roadmaps tecnológicos, identificación de oportunidades de innovación y alineación con la estrategia empresarial REQUISITOS: Formación: Ingeniería Superior o similar Experiencia: +8 años desempeñándote para el ámbito de Arquitectura liderando equipos de Arquitectura Empresarial o en Proyectos de Arquitectura Críticos. Gestión de proyecto y Gestión presupuestaria del mismo, management equipo Idiomas: inglés nivel conversacional Habilidades Clave: Análisis de tendencias, planificación estratégica, liderazgo y comunicación efectiva HERRAMIENTAS TECH: Dominios de Negocio Bancario BIAN TOGAF OpenAPI Cloud Computing DevOps Microservicios Microfrontales Data Modeling Herramientas de modelado AE (pe. BizzDesign) BENEFICIOS: Ubicación: Barcelona, Madrid o Alicente Teletrabajo: 60% Contrato indefinido Seguro médico Retribución flexible Formación

Software Engineer A fantastic opportunity for a driven Software Engineer to join a leading Quantum AI company, where you will work on cutting-edge solutions that make AI faster, greener, and more accessible. You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. This is initially a 9 Month Fixed Term Contract, with scope to extend - *Hybrid working from sites in Madrid or Barcelona. As a Software Engineer, you will Join a world-class team of Quantum and AI experts with an extensive track record in both academia and industry. Work with Fortune-500 customers from government and private sectors. Collaborate with the founding team in a fast-paced startup environment. Tackle high value open problems from industry. Take on technical leadership and work together with software and DevOps engineers as well as our machine learning and quantum experts to industrialize the companies core technologies Required Qualifications Bachelor's degree or higher in Computer Science, a related technical field or relevant industry experience Expert knowledge of Python and preferably other languages such as Rust and C/C++ Junior: 1-2 years of experience in software engineering with focus on machine learning and data science. Mid: 3+ years of experience in software engineering with focus on machine learning and data science. Experience in developing and deploying software systems on the cloud, e.g. AWS Proficiency with git and CI/CD pipelines. Demonstrated commitment to maintainable, high-quality code through best practices such as testing, documentation, and clean design principles, and the ability to instil this in others. Strong ability to work with APIs and design efficient application workflows. Excellent communication and soft skills: a people’s person. Ability to work with experts from different professional backgrounds, both in-person and through online resources. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (

INETUM Somos un Consultora digital, internacional y ágil. En la era de la post-transformación digital, nos esforzamos para que cada uno de nuestros 28.000 profesionales pueda renovarse continuamente. Cada uno de ellos puede diseñar su itinerario profesional de acuerdo a sus preferencias, emprender junto a sus clientes para construir en la práctica un mundo más positivo, innovar en cada uno de los 27 países y conciliar su carrera profesional con su bienestar personal. Nuestros 28.000 atletas digitales están orgullosos de haberse certificado Top Employer Europe 2024. ¡Estamos contratando! Buscamos un/a Ingeniero/a de Datos y Machine Learning para uno de nuestros grandes clientes del sector bancario. ¿Con qué requisitos debes contar?: Extracción y Gestión de Datos • APIs oficiales: Twitter, Meta Graph, YouTube Data API., • Web scraping: BeautifulSoup, Scrapy, Selenium., • Bases de datos:, • SQL: PostgreSQL, MySQL., • NoSQL: MongoDB, Elasticsearch., • Librerías: SpaCy, NLTK, Hugging Face Transformers., • Técnicas:, • Análisis de sentimientos., • Clasificación de texto., • Extracción de tópicos (LDA)., • Frameworks: OpenCV, PyTorch, TensorFlow, Keras., • Modelos: CNNs (ResNet, EfficientNet), YOLO, Faster R-CNN. Lenguajes de programación • Dominio de Python (imprescindible)., • Experiencia con APIs REST (Twitter, Meta, YouTube, etc.)., • Conocimiento en web scraping con BeautifulSoup, Scrapy o Selenium., • Experiencia con SpaCy, NLTK y Transformers de Hugging Face., • Conocimiento en:, • Análisis de sentimientos., • Clasificación de texto., • Extracción de tópicos (LDA)., • Experiencia con OpenCV, TensorFlow, PyTorch y Keras., • Conocimiento en modelos como YOLO, Faster R-CNN, ResNet, EfficientNet., • Experiencia en entornos de cloud computing (AWS, GCP, Azure)., • Conocimientos básicos de Docker y Git., • Capacidad para documentar y presentar resultados técnicos a equipos no técnicos., • Grado o máster en Ingeniería Informática, Ciencia de Datos, Matemáticas, Física o similar., • Formarás parte de un gran equipo de profesionales con inquietud y motivación por el desarrollo y la programación., • Trabajarás a jornada completa con un horario flexible bajo un modelo de trabajo 100% remoto., • 22 días de vacaciones + 2 de asuntos propios., • Formación por parte de la empresa para que puedas seguir desarrollándote y promocionar dentro del plan de carrera que existe para ti., • Podrás asistir a eventos y conferencias relevantes del sector., • Contrato indefinido., • Estabilidad y buen clima laboral., • Salario Competitivo., • Acceso a ventajas del grupo de empresa

Tu misión Como Cloud Team Lead, formarás parte del equipo de I+D de Software corporativo responsable del desarrollo y mantenimiento de las soluciones cloud y apps móviles de la unidad de Eficiencia Energética Eléctrica. Coordinarás un equipo multidisciplinar de ingenieros/as de cloud (aproximadamente 6 personas), asegurando la implementación y mantenimiento de soluciones de nube escalables y seguras sobre nuestro stack tecnológico (basado en Angular, React Native, Go, Echo, Xorm, Python, FastAPI, HELM, Gitlab, S3, Timescale, K8, Terraform, Docker). Buscamos un perfil técnico con visión de liderazgo. Tu tiempo estará compartido entre la coordinación técnica/organizativa del equipo y un rol más hands on en el desarrollo de las actividades técnicas propias. ¿Qué estamos buscando? • Título universitario en Informática, Ingeniería de Software o campo relacionado., • Experiencia sólida en ingeniería de cloud en entornos híbridos, con experiencia hands-on multidisciplinar en desarrollo de aplicaciones y arquitecturas cloud-nativas., • Experiencia en un rol de coordinación técnico y de gestión equipos similar., • Experiencia en desarrollo de aplicaciones backend, preferiblemente fullstack., • Conocimiento tecnologías de cloud como AWS y/o Azure o Google Cloud., • Conocimiento DevOps, tecnologías pipelines CI/CD, frameworks de automatización y soluciones de Infraestructura como Código (IaC) (Terraform, Ansible,.)., • Fuerte competencia en servicios nativos cloud cómo serverless computing, cloud Shell y gestores de contenedores (EKS, GKE,.), • Experiencia práctica con herramientas de observación y monitoreo (Grafana)., • Coordinar el equipo de ingenieros/as de cloud., • Diseñar, desarrollar y mantener soluciones de cloud escalables y seguras, utilizando tecnologías AWS., • Colaborar con la división de producto para definir las especificaciones., • Supervisar el rendimiento y la disponibilidad de las soluciones de cloud, implementando mejoras continuas., • Garantizar el cumplimiento de las mejores prácticas de Ciberseguridad, Calidad y normativas en todas las soluciones de cloud., • Gestionar proyectos de cloud, incluyendo la planificación, ejecución y seguimiento de hitos/entregables y presupuestos., • Gestión y coordinación actividades proveedores externos del área., • Gestionar el roadmap tecnológico del Área evaluando nuevas tecnologías y recomendando su adopción según sea necesario para cumplir el roadmap de producto. ¡La Eficiencia Energética es nuestra razón de ser! Somos una empresa comprometida con la Innovación, el Futuro Energético y con nuestros Clientes y Proveedores. Damos servicio a más de 100 países. Somos Experiencia, Tecnología y Proximidad. ¡Un gran equipo de más de 250 personas ¿Nos acompañas? Energías renovables, Recarga inteligente para vehículos, Compensación de energía reactiva y filtrado de armónicos, Protección y control metering, Medidas y control. Nuestro equipo ¡Estamos de aniversario! Recientemente hemos cumplido 50 años de Eficiencia e Innovación. Nos ubicamos en Viladecavalls, a 30 min de Barcelona y contamos con filiales en Argentina, Perú, México, Francia y Portugal. Estamos comprometidos/as con la igualdad de oportunidades y con la creación de un entorno laboral inclusivo para todas las personas. Por ello, damos la bienvenida a las candidaturas independientemente de su origen étnico, nacionalidad, género, identidad de género, color, creencias religiosas, discapacidad, orientación sexual, edad o estado civil.

Linde Material Handling ranks among the world's leading manufacturers of forklift trucks, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, Linde has been part of the KION Group. Our values are: INTEGRITY we do what is right – COLLABORATION we trust each other – COURAGE we change and innovate – EXCELLENCE we deliver exceptional value to our customers. You will work in a successful global company in an international environment. Are you ready for a new challenge? Then you might be the person we are looking for! About the company: We are a socially responsible company that offers equal employment opportunities, promotes diversity and respect for difference within our company. We do not tolerate any type of discrimination, harassment or aggression, verbal or physical, direct or indirect, against the person or material objects. Mision: Due to your deep technical expertise and strong practical process knowledge, you are responsible for the technical design and specification of our WMS/WES/WCS solutions, acting as the key interface between the customer's requirements, regional experts, and the development team throughout the project lifecycle. Key Functions and Responsibilities: Participate in the project kick-off together with the customer. Responsible for creating WMS/WES/WCS process flowcharts/specifications according to project requirements. Create simulation scenarios for throughput/material flow to validate logistics processes. Create development specifications, translate solution designs into actionable development tasks, user stories, and acceptance criteria for the development team, ensuring clarity and feasibility. Lead technical exchanges and collaboration with software developers (EMEA, APAC, NA), ensuring technical alignment and adherence to best practices. Oversee and validate the solution through critical testing phases, including Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT), ensuring it meets all specified requirements. Deliver expert-level training and system handovers to customers to ensure successful adoption. Act as the primary technical escalation point during the go-live phase, providing hands-on support to analyze and resolve critical on-site issues. Support the improvement of the implementation process and take part in lessons learned sessions. Always ensure project quality, time, and budget, while supporting agile development and the use of sprints. Provide senior-level technical expertise during the sales phase for large-scale and complex projects, helping to shape winning proposals. Serve as the central technical liaison, bridging the gap between the WMS/WES/WCS solution team and regional intralogistics experts (sales experts/solution design) Education, Knowledge, and Experience: University degree or a bachelor's degree in computer science, systems, software, industrial engineering, or a related field. A minimum of 5 years of experience in a solution design, technical architecture, or senior consulting role, ideally within the logistics or industrial automation sector. Good experience/knowledge: In collaboration with developer / development structures. In software architecture (different frameworks, frontend, backend, cloud computing structures). Of automation technology, robotics and software architecture. Basic experience/knowledge: In the field: C# fullstack development, .Net, SQL Server, MySQL, PostGres or other similar database; GitLab/Hub/JIRA and similar DevOps tools, frontend UI/HMI. Connectivity/interfacing skills (technology: SAP interface, OPC-UA, REST, TCP/IP, MQTT, Modbus… and format: JSON, HTML, XML…). Familiar with WMS (Warehouse Management Systems), ERP systems and control technologies (PLC, SCADA). Intralogistics process knowledge (ABU focus: Lane 2 - no “AGV point-point transport” thinking). Personal characteristics: Motivated for WMS/WES/WCS functions and "new technology." A strategic thinker with the ability to see the big picture while also mastering the technical details. Always customer-oriented action. Fluent in written and spoken English. ✏️ Core Competencies & Skills: Deeply customer-focused with a talent for translating business requirements into technical solutions. Exceptional autonomy and initiative, combined with a collaborative mindset to thrive in a team environment. Strong attention to detail and a commitment to quality. Excellent communication skills with the ability to articulate clearly with both internal and external stakeholders. Flexible attitude and willingness to travel for projects (EMEA-wide travel minimum 20%). Excellent interpersonal skills. Excellent time management and organizational skills. Strong problem-solving and analytical thinking skills. ✨ What we offer: Attractive remuneration based on your experience, skills and development. Extensive trainings in your area of responsibility Spain Home Office, except when you are travelling. ✈️ 20% travel availability ⌚️ Flexible hours and intensive Friday schedule Seasonal fruit in the office Private health insurance Food Allowance Committed to Diversity and Society: Support for employees with children with disabilities. We are looking for you!

Divisa IT by Plexus Tech es una consultora IT que forma parte de Grupo Plexus Tech, una compañía tecnológica con más de 25 años de trayectoria, cerca de 4.000 profesionales y presencia global. En Plexus Tech creamos soluciones que mejoran la vida de personas y organizaciones, combinando innovación, cercanía y compromiso. Prestamos servicio a cerca del 80% de las empresas del IBEX35 y contamos con un alto grado de especialización en sectores como banca, seguros, industria, retail, hospitality, travel, sector público, sanidad y servicios sociales. Buscamos un PERFIL INGENIERO/A DE SISTEMAS MIDDLEWARE, DESPLIEGUES y SOPORTE Titulados superiores, con autonomía técnica para el desarrollo de las soluciones que se le soliciten. Asumirán las funciones de desarrollo de componentes, módulos y elementos de las aplicaciones en las que se le hayan asignado, debiendo tener el conocimiento y capacidad para el planteamiento técnico de la solución más idónea. Se busca profesional con experiencia demostrable en la gestión, configuración, despliegue, ajuste y parametrización de sistemas y aplicaciones web, con conocimiento en las distintas áreas de desarrollo de software. Se integrará en el Área de desarrollo de la compañía formando parte de un equipo consolidado y senior. El candidato deberá aportar experiencia en el aprovisionamiento, configuración, puesta en marcha, administración y mantenimiento de las infraestructuras necesarias para el despliegue y funcionamiento de aplicaciones web en entornos java. Los candidatos deben tener al menos 4 años de experiencia y con los conocimientos y características personales que indicamos a continuación: Conocimientos técnicos y experiencia Los profesionales que buscamos deben contar con amplia experiencia en: • Sistemas operativos; tanto linux como Windows y conocimientos en despliegue de máquinas virtuales., • Aplicaciones Web en entornos java, con experiencia en la administración, configuración, optimización y mantenimiento de servidores Apache HTTPD, Apache Tomcat, HAProxy., • SQL y administración de Base de Datos; habituado a trabajar con ORACLE, SQL Server y PostGreSQL, • Uso y gestión de repositorios de código; como GIT, github, • Lenguajes de scripting, • Sistemas de automatización IT; automatización de tareas, • Plataformas Cloud Computing; AWS, Azure DevOps, Google Cloud Platform, • Servicios corporativos (servicio de ficheros, DNS, LDAP y Active Directory, NPS, ...), • Experiencia en administración de CMS, • Experiencia en programación segura, comunicaciones seguras TLS y conocimiento de redes Responsabilidades del puesto Entre las responsabilidades del puesto se encuentran:  Instalación, configuración y mantenimiento de aplicaciones basadas en Java.  Control y aseguramiento de las distintas versiones de software de aplicación implantadas en clientes; tanto en los entornos de producción como de pruebas y desarrollo.  Detección y resolución de problemas e incidencias de estas aplicaciones. Ofrecemos: Acceso a formación continuada Formar parte de un equipo dinámico, comprometido, apasionado por sus clientes y con ganas de dar lo mejor de sí mismo. Formar parte de una compañía con muchos profesionales de referencia en el sector Un ecosistema de trabajo con un ambiente colaborativo. Contratación indefinida + teletrabajo 100% Paquete de retribución Flexible compuesto por: Seguro médico Ticket Restaurante Ticket transporte Ticket guardería Fomentamos la igualdad de trato y de oportunidades para toda persona, de modo que ninguna razón de nacimiento, raza, sexo, religión, opinión o cualquier otra condición o circunstancia personal o social cause discriminación. En particular, la organización está comprometida con la creación de un contexto favorable a la diversidad y avance en la erradicación de la discriminación de las personas LGTBI, independientemente de su orientación e identidad sexual o su expresión de género universal, quedando esto reflejado en nuestro Plan de Igualdad.

Telespazio Ibérica es la filial en España de Telespazio, la joint venture espacial entre Leonardo (67%) y Thales (33%). Somos la empresa líder en geoinformación en España, con casi 40 años de experiencia y unos 200 empleados en nuestras oficinas de Madrid, Barcelona, Vigo y Fuerteventura. Estamos a la vanguardia en otros sectores como las comunicaciones por satélite, la observación de la Tierra y la operación de sistemas espaciales. Proporcionamos soluciones de comunicación multiórbita (LEO, MEO y GEO), navegación por satélite (GNSS) y hemos diseñado un servicio de claves cuánticas (QKD) desde órbita baja, asegurando la ciberseguridad en un mundo cada vez más digitalizado. En el proyecto Moonlight de la ESA estamos desarrollando el simulador 'end-to-end' que permitirá a las agencias espaciales recrear sus misiones antes de lanzarlas. Nuestra experiencia en procesamiento de imágenes y análisis de datos geoespaciales nos permite ofrecer soluciones innovadoras en cartografía 2D/3D, monitorización del cambio climático y mercados de observación remota. También ofrecemos servicios B2B avanzados de comunicaciones y gestionamos infraestructuras críticas que requieren precisión y fiabilidad. Nuestra Software Factory, con experiencia en Cloud, IA y tecnologías GIS, brinda un servicio transversal, facilitando la integración de datos y la automatización de procesos. En Defensa y Seguridad fomentamos el uso dual de la tecnología para reforzar la resiliencia operativa y estratégica. Como proveedor de soluciones para emergencias y vigilancia, gestionamos contratos de servicio para sistemas espaciales y operaciones, garantizando la eficiencia en los ámbitos europeo, nacional y regional. Aprovechando los avances tecnológicos en Comunicaciones Satelitales (SatCom), somos distribuidores autorizados de primer nivel para comercializar los servicios de Starlink y OneWeb a empresas e instituciones en España. Ofrecemos soluciones integrales, gestión de redes, ciberseguridad, servicios en campo y asistencia técnica 24/7. Por último, estamos convirtiendo a España en un referente de los servicios aeroespaciales utilizando vehículos aéreos no tripulados como drones, HAPs (pseudosatélites) y MALE, integrándolos en teledetección y comunicaciones para mejorar la persistencia y resolución de los datos. Nuestros clientes son, principalmente, administraciones públicas y empresas privadas. Estamos en la gestión de infraestructuras críticas, emergencias y catástrofes naturales; con el foco en la sostenibilidad y el cuidado de la biodiversidad y el medio ambiente. Por ejemplo, desde la prevención, alerta temprana y gestión de los incendios forestales en las islas Canarias hasta la monitorización de los ecosistemas marinos en Galicia. El Espacio puede parecer lejano, pero lo que hacemos en Telespazio Ibérica, con audacia e innovación, está orientado a las personas, a las que brindamos servicios y soluciones que contribuyen a mejorar su día a día. Buscamos incorporar Ingenieros/as DevOps para integrarse en proyectos de desarrollo de soluciones tecnológicas en el ámbito geoespacial, combinando datos cartográficos, observación de la Tierra por satélite y operaciones con UAS. El puesto está enmarcado dentro de un programa de I+D+i centrado en servicios geoespaciales avanzados, con fuerte componente en tecnologías cloud, integración continua y automatización de procesos. El candidato se integrará en el equipo TI para desarrollar tareas relacionadas con la infraestructura, automatización y despliegue de aplicaciones. El candidato contribuirá, en coordinación directa con el responsable del Área de DevOps, mediante la realización de las distintas funciones: • Diseño, despliegue y mantenimiento de infraestructuras cloud para entornos de desarrollo, testing y producción., • Implementación y gestión de pipelines de integración y despliegue continuo (CI/CD)., • Automatización de procesos de provisión de infraestructura (Infrastructure as Code)., • Monitorización, trazabilidad y mejora continua de la operativa en entornos DevOps., • Apoyo al equipo de desarrollo para garantizar entornos reproducibles, seguros y escalables., • Apoyo al equipo de sistemas para configuración de equipos y garantizar la continuidad del servicio., • Gestión de contenedores y orquestación de servicios (Docker, Kubernetes). Estudios mínimos: Grado universitario en informática, telecomunicaciones o equivalente Deseable Máster en Cloud Computing, Ciberseguridad o áreas afines al puesto. Experiencia mínima: Al menos 3 años en entornos DevOps o como ingeniero de infraestructura de software. Residente en: Imprescindible en España. Preferiblemente en Fuerteventura (Canarias) Requisitos mínimos: Experiencia en uso de contenedores (Docker) y orquestación con Kubernetes. Dominio de herramientas de CI/CD (GitLab CI, Jenkins). Conocimientos en Infraestructura como Código (Terraform, Ansible). Experiencia con servicios cloud (preferentemente AWS, aunque se valoran otros: Azure, GCP). Manejo de sistemas Linux y scripting (bash, Python). Requisitos deseados: Experiencia en observabilidad (monitorización, logging, alertas). Conocimientos en seguridad de infraestructuras y gestión de secretos. Familiaridad con entornos de desarrollo en Python, Java o .NET. Experiencia en orquestación de flujos (Argo, Airflow). Conocimientos de configuración de red. Conocimientos básicos de bases de datos (PostgreSQL, Oracle). COMPETENCIAS: Proactividad y autonomía en la resolución de problemas. Espíritu de equipo y comunicación efectiva. Capacidad de trabajo en entornos distribuidos y colaborativos. Disponibilidad para viajes ocasionales. Orientación a la mejora continua y optimización de procesos. Telespazio Iberica apuesta y fomenta la inclusión de personas con discapacidad valorando estas candidaturas en sus procesos de selección. La presente oferta de empleo está redactada teniendo en cuenta la imparcialidad y no discriminación por razón de género, raza, ideología o cualquier otro motivo.

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.

Are you ready to push the boundaries of mobile technology? Join a world-leading Quantum AI company that’s redefining how people interact with intelligent systems. We’re looking for a Mobile Developer who’s passionate about creating seamless, next-gen mobile experiences — blending AI, LLMs, and cutting-edge quantum tech. This is your chance to work alongside some of the brightest minds in AI and quantum computing, developing solutions that have real-world global impact. This is a 9-month Fixed Term Contract (with potential to extend), offering hybrid working from offices in Barcelona. What you’ll do Build and maintain native mobile apps (iOS and Android) that power intelligent, AI-driven experiences. Integrate LLM, NLP, and generative AI features into engaging in-app chat, recommendations, and smart interactions. Collaborate with designers, product managers, and AI engineers to craft frictionless, high-performance user experiences. Connect apps with cloud services and APIs to deliver real-time, secure AI outputs. Ship high-quality code, optimize for performance, and keep apps running smoothly at scale. Contribute ideas, spot opportunities, and help shape the future of mobile AI applications. What you bring 2+ years’ experience building and releasing iOS (Swift/Objective-C) and Android (Kotlin/Java) apps. Strong track record of working with RESTful APIs, cloud integrations, and mobile best practices. A keen eye for clean code, UI/UX, and delivering polished products. Familiarity with Git, Xcode, and Android Studio. A collaborative mindset and a genuine interest in AI-driven products. Bonus points if you have Experience building apps with LLM, NLP, or generative AI features. Exposure to cloud ML services (AWS, GCP, Azure, OpenAI). Published apps in the App Store or Google Play. Passion for data security and privacy-first development.

Are you ready to push the boundaries of AI and quantum computing? Join a leading Quantum AI company and work on solutions that make AI faster, greener, and more accessible. Collaborate with world-class experts and deliver technologies that impact clients across government and industry. This is a 9-month Fixed Term Contract (with potential to extend), offering hybrid working from offices in Barcelona. What you’ll do: Develop and industrialize cutting-edge quantum and AI solutions. Collaborate with Fortune 500 clients on real-world challenges. Work in a fast-paced startup environment alongside the founding team. Tackle high-value open problems with software, DevOps, ML, and quantum experts. Provide technical leadership and contribute to designing robust, maintainable systems. What we’re looking for: Degree in Computer Science or related field, or equivalent experience. Strong Python skills; Rust or C/C++ is a plus. Experience levels: Junior: 1–2 years in software engineering focused on ML/data science. Mid: 3+ years in software engineering focused on ML/data science. Experience with cloud deployment (AWS preferred), git, and CI/CD pipelines. Commitment to clean, maintainable code with best practices (testing, documentation). Strong skills in API integration and efficient workflow design. Excellent communication and collaboration skills—comfortable working across diverse teams.

AI Evaluation Data Scientist A fantastic opportunity for a driven AI Data Scientist to join a leading Quantum AI company, who work on cutting-edge solutions that make AI faster, greener, and more accessible. You’ll be working alongside world-leading experts in quantum computing and AI, with the opportunity to work on challenging projects and shape the future of Generative AI systems. This is initially a 9 Month Fixed Term Contract, with scope to extend - *Hybrid working from sites in Madrid or Barcelona. Contribute to the end-to-end design of Agentic AI and RAG systems, injecting a data-and-evaluation perspective into retrieval strategies, orchestration policies, tool usage, and memory to solve complex, real-world problems across industries. Develop task-based, multi-step evaluations that reflect how the different components of our systems (retrieval, planning, tool use, memory) perform in real-world scenarios across cloud and edge deployments. Develop and refine rigorous evaluation frameworks that reflect real-world performance, going beyond model benchmarks to assess task success, reasoning capabilities, factual consistency, reliability, and user success metrics across diverse problem domains. Build and maintain a reproducible evaluation pipeline, including datasets, scenarios, configs, test suites, versioned assets, and automated runs to track regressions and improvements over time. Curate and generate high-quality datasets for evaluation, including synthetic and adversarial data, to strengthen coverage and robustness. Perform deep error analyses and ablations to uncover failure patterns, maintain a taxonomy of failure modes (reasoning, grounding, hallucinations, tool failures), and provide actionable insights to engineers to improve model and system performance. Partner with ML specialists to create a data flywheel, where evaluation continuously informs new dataset creation, improvements on prompts, tool usage, model training, and system refinements, quantifying improvements over time. Maintain high engineering standards, including clear documentation, reproducible experiments, robust version control, and well-structured ML pipelines. Contribute to team learning and mentorship, guiding junior engineers and sharing expertise in LLM development, evaluation, and deployment best practices. Participate in code reviews, offering thoughtful, constructive feedback to maintain code quality, readability, and consistency. D. in Computer Science, Machine Learning, Data Science, Physics, Engineering, or related technical fields, with relevant industry experience. Solid hands-on experience (3+ years for mid-level, 5+ years for senior) working as a Data Scientist, ML Engineer, or Research Scientist in applied AI/ML projects deployed in production environments. Strong background in evaluation of machine learning systems, ideally with experience in LLMs, RAG pipelines, or multi-agent systems. Hands-on experience with dataset creation and curation (including synthetic data generation) for training and evaluation. Proven experience with agent-based architectures (task decomposition, tool use, reasoning workflows), RAG architectures (retrievers, vector databases, rerankers), and orchestration frameworks (LangGraph, LlamaIndex). Strong software engineering skills, with proficiency in Python, Docker, Git, and experience building robust, modular, and scalable ML codebases. Familiarity with common ML and data libraries and frameworks (e.g., PyTorch, HuggingFace, LangGraph, LlamaIndex, Pandas, etc.). Experience with cloud platforms (ideally AWS). Fluent in English. By applying to this role, you understand that we may collect your personal data & store & process it on our systems.

Knowledge of cloud computing, especially Google Cloud Platform.

Desarrollo de software, I+D Oportunidades de Crecimiento Requisitos: Experiencia como desarrollador/a Full Stack Conocimientos en Front-end: HTML5, JavaScript, CSS, React Conocimientos en Back-end: C# Se valorará positivamente tener conocimientos en: APIs RESTful Cloud Computing:

We are looking for a curious, technically skilled, and hands-on Implementation Engineer (Industrial IoT – Edge & Cloud) who is eager to take ownership of how edge computing platforms integrate with real-world energy infrastructures.If you're passionate about technology, renewable energy,