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Company description Wittur Group is the leading, trusted and knowledgeable partner for elevator solutions, technology and services globally (approx. 5000 employees, 13 manufacturing sites, more than 50 countries served by our sales network). Our purpose is “ Advancing the elevator industry ”. Moving billions of people every day, we are passionate about the vertical transportation industry. Our technology makes elevators work safely. Our industry leading range of products, combined with our ability to innovate, means we provide our partners with solutions on which we can build the future of our industry together. Job description Wittur is looking for an Application Engineering Technician to join the Application Engineering team of our Spain plant company, based in Zaragoza. Job mission and objectives Perform industrial technical drawing and adapt standard elevator drawings to the specific requirements of each customer, ensuring the correct translation of project needs into precise and feasible technical documentation. Main tasks of the role will include: • Adapt standard drawings to special orders, applying mechanical design knowledge, elevator sector regulations, and internal technical criteria., • Direct interaction with customers (internal and external) to clarify requirements, resolve issues, and ensure proper interpretation of technical specifications., • Manage and review the technical documentation associated with the project, ensuring the accurate, complete, and timely delivery of adapted drawings., • Act as a technical reference in matters related to drawings and special configurations, providing support to Sales, Engineering, and Production when needed., • Collaborate with other departments to ensure the technical feasibility of requested solutions and their proper integration into the production process., • Use advanced CAD tools, especially SolidWorks, and PDM/PLM systems (Windchill) for model and documentation management and control. Experience & Skills • Industrial Engineer (technical or higher degree), Mechanical Engineering., • At least 2 years of experience in industrial design., • Experience in industrial design within the elevator sector (considered an asset)., • Experience in industrial technical drawing and adapting standard elevator drawings to customer‑specific requirements ., • Advanced mastery of SolidWorks and 3D modelling ., • Familiarity with PDM/PLM tools , especially Windchill (considered an asset)., • Spanish and English C1. Plus: German Elevators are the most popular means of transportation in the world: they are a key element of today’s vertically growing cities. One of the main challenges of our industry is to shape the future of urban vertical mobility by developing a more and more sustainable and efficient flow of people and goods within modern cities. Come and be part of this exciting development! Develop your skills in an inspirational environment Every day is different when working at Wittur. Transformation, change, and continuous improvement are part of what we are. You will be involved in small and big projects that can have a great impact on our company’s results and give your outstanding contribution. If you consider challenges as great ways to learn and grow, you will find yourself at home in Wittur. Have the world at your fingertips We are a global manufacturer with branches, customers, suppliers, and business partners all over the world. Collaborating with colleagues from the other side of the globe, manufacturing components for an iconic elevator in one of the world’s most amazing buildings, answering queries in a multitude of different languages in the same day, are just a few examples of how you will be supporting our international spirit. Enjoy an open, diverse, performance-based, hands-on workplace At Wittur, you will find a work environment where no one (not even our top management!) is too far away, where everyone has the right and freedom to express their opinion and can contribute proactively to their own and to our company's success. Here, differences are a valuable resource to build our best future together. Are you ready to get in the game? Join a leading company at the forefront of technology Improving processes and products through innovation is part of our company’s DNA at Wittur. We do it for our customers, we do it for ourselves. After a few months in Wittur, you will start to look at elevators in a different way. When entering one, you will find yourself checking all visible (and invisible) components, appreciating a well-done job and thinking how to innovate further. A bit weird for the rest of the world, not for us! We look forward to receiving your application! Please send your CV in English, highlighting your relevant experience. For additional company information please visit our website at Have a look at the Wittur values . They are the foundation of our success: We are an Equal Opportunity Employer.

Back-End Engineer A leading European deep-tech company in quantum and AI is looking for a Back-End Engineer to join the team in Zaragoza on a FIXED CONTRACT until the end of June! You will build and scale the server-side systems, APIs, and infrastructure that contribute to providing hyper-efficient software to companies looking to gain an edge with quantum computing and AI. Key skills required: 2–5 years of experience building scalable services in Python or Go. Designing high-performance APIs. Working with relational databases and cloud infrastructure. Comfortable turning R&D prototypes into production-ready systems using Docker, CI/CD pipelines, and AWS. Key words: Backend / Engineer / AI / Artificial / Intelligence / Python / GO / API / Docker / Cloud / Quantum / 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 ( )

Cemex es una compañía global de materiales para la construcción —líder en cemento, concreto premezclado y agregados— con presencia estratégica en América, el Caribe, Europa, África, Medio Oriente y Asia, y una red comercial internacional. En 2024, registró ventas netas por US$16.2 mil millones y un EBITDA cercano a US$3.08 mil millones. Al cierre de 2024/arranque de 2025, la compañía cuenta con ~45.6 mil empleados a nivel mundial. Mantiene relaciones comerciales globales y liderazgo en comercialización de cemento y clinker, operando en múltiples regiones con oficinas corporativas y operativas distribuidas en varios países. Como Técnico Prevención de Riesgos Laborales – Salud y Seguridad , serás responsable de garantizar la protección de la salud y seguridad de todos los trabajadores, liderando la identificación, evaluación y control de los riesgos laborales, e impulsando la integración de la prevención en todos los niveles de la empresa mediante la planificación, formación, asesoramiento técnico y seguimiento de las medidas preventivas. ¡Forma parte de este increíble EQUIPO! Principales Responsabilidades Realizar y actualizar las evaluaciones de riesgos de los puestos de trabajo asignados. Identificando los riesgos en los puestos de trabajo, procesos, maquinaria e instalaciones. Realizar y actualizar los planes de emergencias / planes de autoprotección de los centros de trabajo asignados. Diseñar e implementar de medidas preventivas y supervisar la correcta aplicación de las medidas. Elaborar planes de prevención adaptados a sus centros asignados. Detectar las necesidades formativas en materia de Prevención de los trabajadores y realizar el plan formativo. Realizar actividades de información y formación a los trabajadores. Planificar la realización de informes técnicos en materia de PRL (mediciones higiénicas, informes psicosociales, etc.) con SPA y hacer seguimiento de su desarrollo. Investigar accidentes de trabajo y analizar causas inmediatas y subyacentes. Proponer acciones correctivas para evitar recurrencias. Asesoramiento técnico a clientes internos. Realizar Auditorías e inspecciones. Coordinación de Vigilancia de la Salud (Revisiones médicas, campañas de vacunación, y Coordinación de Actividades Empresariales (CAE). Realizar tareas propias del sistema de gestión de Cemex; seguimiento de KPIs, campañas regionales, implantación de estándares regionales o globales, entre otras. Formación Académica: Licenciatura o Grado en Ingeniería o áreas afines. Máster en prevención de riesgos laborales con las 3 especialidades. Inglés mínimo B2. Experiencia: Mínimo 5 años de experiencia en prevención de riesgos laborales Experiencia en la industria del cemento (deseable). Compromiso de Diversidad e Inclusión de Cemex Cemex tiene como compromiso asegurar que sus empleados tengan un lugar de trabajo ético e inclusivo. Las decisiones en Cemex se toman sin distinción de género, raza, color, edad, religión, discapacidad mental o física, embarazo y maternidad/paternidad, matrimonio o unión civil, orientación o preferencia sexual, afiliación política o nación de origen.

Cemex es una compañía global de materiales para la construcción —líder en cemento, concreto premezclado y agregados— con presencia estratégica en América, el Caribe, Europa, África, Medio Oriente y Asia, y una red comercial internacional.En 2024, registró ventas netas por US$16.Al cierre

Backend Software Developer A fantastic opportunity for a driven Backend Software Developer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. This is initially a Fixed Term Contract Until June 30th 2026 - Hybrid from Zaragoza Required Qualifications 2–5 years of experience developing and maintaining backend systems in Python or Go. Strong understanding of RESTful API or gRPC design, versioning, and performance optimization. Experience with Docker and basic familiarity with Kubernetes for deploying scalable services. Solid understanding of relational databases (PostgreSQL/MySQL) and schema design. Experience integrating or automating workflows across multiple systems (data, CI/CD, ML). Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions). Experience with AWS or cloud-based deployment environments. A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices. Bonus Experience Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow). Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton). Experience building or integrating benchmarking, evaluation, or data automation pipelines. Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences. 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 ().

Python Developer (Backend) A fantastic opportunity for a driven Software Developer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. This is initially a Fixed Term Contract Until June 30th 2026 - Hybrid from Zaragoza Required Qualifications 2–5 years of experience developing and maintaining backend systems in Python or Go. Strong understanding of RESTful API or gRPC design, versioning, and performance optimization. Experience with Docker and basic familiarity with Kubernetes for deploying scalable services. Solid understanding of relational databases (PostgreSQL/MySQL) and schema design. Experience integrating or automating workflows across multiple systems (data, CI/CD, ML). Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions). Experience with AWS or cloud-based deployment environments. A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices. Bonus Experience Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow). Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton). Experience building or integrating benchmarking, evaluation, or data automation pipelines. Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences. 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 ().

Devops Manager | Tech Start up (€200m+ raised) | Immediate Start | Zaragoza (Hybrid) A fantastic opportunity for a driven Engineer 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, developing solutions that deliver real-world impact for global clients. Responsibilities Lead the DevOps/DevSecOps practices and processes within the organization Develop and implement DevOps/DevSecOps strategies for the organization. Mentor other engineers in the adoption of Cybersecurity best practices. Work with development and operations teams to automate security-based principles. Identify and implement tools and processes to improve software development and delivery. Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience. Monitor and evaluate the performance of implemented solutions, making recommendations for enhancements or modifications as needed. Help deploy our software stack to Fortune 500 clients’ servers. Required Qualifications Bachelor’s degree in Computer Engineering, Computer Science, or related field; alternatively, significant work experience as a Software Engineer, with strong emphasis on Cybersecurity. 3+ years of experience working as DevSecOps Engineer. Strong competence with Network Architecture and related technologies in AWS and/or Azure Cybersecurity competence in SAST, DAST, SIEM, SSO, penetration testing, implementing cybersecurity controls. Experience with Cybersecurity Incident Response protocols Competence in cryptographic controls, such as SSH key handling, logging, and auditing. Competence with Key Management Service, key rotation solutions, and automation. Candidates with AWS, Azure and/or Security certifications will be prioritized, especially AWS Certified Security, AWS Certified Advanced Networking. Additional certifications in Cybersecurity and/or Networking (CCNA, CCNP, etc) are highly desirable. Experience designing & building solutions with strong focus on AWS Security and Network services. Strong competence in AWS Guard Duty, Config, Security Hub, Inspector, Control Tower, IAM policies, VPC Flow Logs, as well as corresponding services in Azure. Competence in Infrastructure as Code (Terraform) to support deployment, scaling, monitoring, and configuration management. And don’t worry if you’re not a perfect match — if you’re close and motivated to grow, you’re encouraged to apply. In accordance with local employment laws, applicants must have current, valid authorisation to work in Spain at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Germany cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV at 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 ()

Backend Software Developer A fantastic opportunity for a driven Backend Software Developer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. Required Qualifications 2–5 years of experience developing and maintaining backend systems in Python or Go. Strong understanding of RESTful API or gRPC design, versioning, and performance optimization. Experience with Docker and basic familiarity with Kubernetes for deploying scalable services. Solid understanding of relational databases (PostgreSQL/MySQL) and schema design. Experience integrating or automating workflows across multiple systems (data, CI/CD, ML). Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions). Experience with AWS or cloud-based deployment environments. A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices. Bonus Experience Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow). Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton). Experience building or integrating benchmarking, evaluation, or data automation pipelines. Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences. 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 ().

DevOps Engineer A fantastic opportunity for a driven DevOps Engineer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. ***This is initially a Fixed Term Contract until the end of June 2026 , with Hybrid working from a new site in Zaragoza.*** As a DevOps Engineer, you will Optimize the performance, scalability, and reliability of our model inference API and other API's Implement DevOps strategies for the organization. Work with development and operations teams to automate software delivery processes. Identify and implement tools and processes to improve software development and delivery. Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience. Help deploy our software stack to Fortune 500 clients’ servers. Participate in the design of the companies toolbox interface. Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Required Qualifications Bachelor’s degree in Computer Engineering, Computer Science, or related field; Alternatively, significant work experience as a Software Engineer. 2-5 years of experience working as a DevOps engineer. Experience in large-scale, secure, and high availability solutions in the AWS Cloud, using automation to support deployment, scaling, monitoring, and management (Terraform / CloudFormation / SDK, etc.). Experience building CI/CD pipelines (i.e., GitLab CI, GH Actions, Jenkins, Gitlab CI/CD). Experience with deploying, managing, and optimizing API's in production environments. Familiarity with containerization technologies such as Docker and Kubernetes. Proficiency with one or more programming languages (Bash, Python, Go, etc). Proven ability to troubleshoot and identify the root cause of infrastructure and security Issues. Good communication and collaboration skills. 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 ().

DevOps Engineer A leading European deep-tech company in quantum and AI is looking for a DevOps Engineer to join the team in Zaragoza on a FIXED CONTRACT until the end of June! Design and implement DevOps strategies, automate deployments, and optimize systems for quantum-inspired software, collaborating with teams to deliver scalable enterprise solutions. Key skills required: 2–5 years’ experience as a DevOps Engineer. AWS cloud, CI/CD pipelines, containerization (Docker/Kubernetes), API deployment, and infrastructure automation (Terraform/CloudFormation). Skilled in programming (Bash, Python, Go), troubleshooting, and collaborating effectively. Key words: DevOps / Engineer / AI / Artificial / Intelligence / Python / GO / API / Docker / Cloud / Quantum / 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 ( )

MLOps/LLMOps Engineer A leading European deep-tech company in quantum and AI is looking for a MLOps/LLMOps Engineer to join the team in Zaragoza on a fixed contract until the end of June! You will build and scale cutting-edge LLM systems for clients, owning the full MLOps lifecycle in a fast-paced start-up alongside world-class AI and quantum experts. Key skills required: 1+ years of experience as an ML/LLM engineer in public cloud platforms. Proven experience in MLOps, LLMOps, with hands-on experience in managing machine/deep learning. Python programming proficiency, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed. Generative AI exposure. Key words: Machine / Learning / MLOPs / LLMOps / Generative / AI / Artificial / Intelligence / Python / Quantum 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 ( )

DevSecOps Engineer A fantastic opportunity for a driven DevSecOps Engineer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. ***This is initially a Fixed Term Contract until the end of June 2026 , with Hybrid working from a new site in Zaragoza.*** Responsibilities Lead the DevSecOps practices and processes within the organization Develop and implement DevSecOps strategies for the organization. Mentor other engineers in the adoption of Cybersecurity best practices. Work with development and operations teams to automate security-based principles. Identify and implement tools and processes to improve software development and delivery. Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience. Monitor and evaluate the performance of implemented solutions, making recommendations for enhancements or modifications as needed. Help deploy our software stack to Fortune 500 clients’ servers. Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Collaborate with the founding team in a fast-paced startup environment. Required Qualifications Bachelor’s degree in Computer Engineering, Computer Science, or related field; alternatively, significant work experience as a Software Engineer, with strong emphasis on Cybersecurity. 2+ years of experience working as DevSecOps Engineer. Strong competence with Network Architecture and related technologies in AWS and/or Azure Cybersecurity competence in SAST, DAST, SIEM, SSO, penetration testing, implementing cybersecurity controls. Experience with Cybersecurity Incident Response protocols Competence in cryptographic controls, such as SSH key handling, logging, and auditing. Competence with Key Management Service, key rotation solutions, and automation. Candidates with AWS, Azure and/or Security certifications will be prioritized, especially AWS Certified Security, AWS Certified Advanced Networking. Additional certifications in Cybersecurity and/or Networking (CCNA, CCNP, etc) are highly desirable. Experience designing & building solutions with strong focus on AWS Security and Network services. Strong competence in AWS Guard Duty, Config, Security Hub, Inspector, Control Tower, IAM policies, VPC Flow Logs, as well as corresponding services in Azure. Competence in Infrastructure as Code (Terraform) to support deployment, scaling, monitoring, and configuration management. Solid understanding and knowledge of standard DevOps practices. Proficiency with one or more programming languages (Bash, Python, Go, etc). Proven ability to troubleshoot and identify the root cause of security issues. 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 ().

MLOps/LLMOps Engineer A fantastic opportunity for a driven MLOps Engineer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. ***This is initially a Fixed Term Contract until the end of June 2026 , with Hybrid working from a new site in Zaragoza.*** As a MLOps/LLMOps Engineer, you will Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients. Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Collaborate with the founding team in a fast-paced startup environment. Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring. Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle. Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues. Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data. Collaborate closely with Product and DevOps teams and Generative AI researchers to optimize model performance and resource utilization. Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads, ensuring both cost-efficiency and scalability. Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes. Required Qualification Bachelor's or master's degree in computer science, Engineering, or a related field. 1+ years of experience as an ML/LLM engineer in public cloud platforms. Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring. Experience in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering. Knowledge in model parallelism in model training and serving, and data parallelism/hyperparameter tuning. Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM. Knowledge in with generative AI applications and domains, including content creation, data augmentation, and style transfer. Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context-based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc. Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre. Great communication skills and a passion for working collaboratively in an international environment. 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 ().

MLOps/LLMOps Engineer - LLMs / AI / Fixed Term Contract We’re seeking a MLOps/LLMOps Engineer to join our client on an initial fixed term contract working on a hybrid model (2-3 days per week onsite) in either Zaragoza or Barcelona Please note - the initial contract will run until 30th June, 2026. In this role, you will deploy cutting-edge ML/LLMs models to Fortune Global 500 clients, within a world-class team of Quantum experts with an extensive track record in both academia and industry. You will collaborate with the founding team in a fast-paced startup environment and will design, develop, and implement Machine Learning and Large Language Model pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring. The company is backed by global investors and major EU support, and their technology is already reshaping how AI is deployed worldwide by cutting costs, slashing model sizes, and making systems faster, greener, and more accessible. In this role you will receive a base salary (paid pro-rata) plus bonus and retention bonus. What you'll do: Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients. Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Collaborate with the founding team in a fast-paced startup environment. Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring. Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle. Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues. Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data. Collaborate closely with Product and DevOps teams and Generative AI researchers to optimize Model performance and resource utilization. Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads, ensuring both cost-efficiency and scalability. Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes. Communicate effectively with both technical and non-technical stakeholders, providing updates on Large Language Model performance and status. What you’ll need: Bachelor's or master's degree in computer science, Engineering, or a related field. 1+ years of experience as an ML/LLM engineer in public cloud platforms. Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring. Experience in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering. Knowledge in model parallelism in model training and serving, and data parallelism / hyperparameter tuning. Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM. Knowledge in with generative AI applications and domains, including content creation, data augmentation, and style transfer. Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context-based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc. Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre. In accordance with local employment laws, applicants must have current, valid authorisation to work in Spain at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Spain cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on 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 ( )