About the Role Nuestra empresa cliente, líder global en soluciones de análisis predictivo, está buscando un/a Ingeniero/a de Machine Learning altamente motivado/a para unirse a su equipo de manera completamente remota. Esta posición es ideal para profesionales que buscan la máxima flexibilidad y desean contribuir a proyectos innovadores desde cualquier lugar. Serás responsable del diseño, desarrollo e implementación de modelos de aprendizaje automático escalables y eficientes. Trabajarás con un conjunto de datos diverso y desafiante, colaborando estrechamente con equipos de ingeniería y producto para llevar nuestras soluciones al siguiente nivel. Buscamos a alguien con una sólida base técnica, pasión por la resolución de problemas y la capacidad de prosperar en un entorno de trabajo remoto autónomo. Nuestra cultura prioriza la entrega de resultados y el crecimiento profesional continuo. Key Responsibilities Diseñar, construir y mantener pipelines de machine learning robustos y escalables.Desarrollar y desplegar modelos de aprendizaje supervisado, no supervisado y por refuerzo.Optimizar el rendimiento de los modelos y la infraestructura de producción.Colaborar con científicos de datos para llevar modelos del prototipo a la producción.Trabajar con grandes volúmenes de datos y tecnologías de Big Data.Implementar MLOps para la monitorización, gestión y actualización de modelos en producción.Participar en revisiones de código y diseño para garantizar la calidad del software.Investigar y proponer nuevas tecnologías y metodologías para mejorar nuestras capacidades de ML.Comunicarse eficazmente con equipos distribuidos globalmente. RequirementsGrado o Máster en Ciencias de la Computación, Ingeniería, Matemáticas o un campo cuantitativo relacionado.Experiencia sólida de al menos 4 años en ingeniería de machine learning o ciencia de datos avanzada.Dominio de Python y bibliotecas clave de ML (Scikit-learn, Tensor Flow, Py Torch).Experiencia probada en el despliegue de modelos de ML en entornos de producción.Conocimiento de arquitecturas cloud (AWS, Azure, GCP) y servicios de ML asociados.Experiencia con herramientas de orquestación de contenedores como Docker y Kubernetes.Comprensión de los principios de ingeniería de software y prácticas de MLOps.Excelentes habilidades de comunicación y capacidad para trabajar de forma independiente.Conexión a internet de alta velocidad y un entorno de trabajo propicio para el trabajo remoto. Benefits Ofrecemos un salario muy competitivo y un paquete de beneficios integral que incluye seguro médico, dental y de visión. Al ser un puesto 100% remoto, disfruta de una flexibilidad geográfica sin precedentes. Proporcionamos un subsidio para configurar tu oficina en casa y acceso a plataformas de aprendizaje online para tu desarrollo profesional continuo. Nuestra empresa cliente fomenta una cultura de trabajo colaborativa y de apoyo, independientemente de la ubicación, con oportunidades para interactuar con equipos globales y participar en proyectos de vanguardia. Esta es una oportunidad excepcional para unirse a una empresa innovadora sin la necesidad de reubicarse en Vigo .Our client, a leading AI research and development firm, is seeking an innovative Ingeniero/a de Machine Learning to join their dynamic team in Vigo. This role is at the forefront of developing and deploying advanced machine learning models that drive intelligent solutions for various industries. We are looking for a highly analytical and results-oriented individual with a strong background in ML algorithms, data science, and software engineering. You will collaborate with a team of researchers and engineers to tackle complex problems and contribute to groundbreaking projects. This position offers a hybrid work model, blending in-office collaboration with remote flexibility, based at our client's state-of-the-art facilities in Vigo .About the RoleOur client, a leading AI research and development firm, is seeking an innovative Ingeniero/a de Machine Learning to join their dynamic team in Vigo. This role is at the forefront of developing and deploying advanced machine learning models that drive intelligent solutions for various industries. We are looking for a highly analytical and results-oriented individual with a strong background in ML algorithms, data science, and software engineering. You will collaborate with a team of researchers and engineers to tackle complex problems and contribute to groundbreaking projects. This position offers a hybrid work model, blending in-office collaboration with remote flexibility, based at our client's state-of-the-art facilities in Vigo .Key ResponsibilitiesDesign, develop, train, and deploy machine learning models to solve business problems.Process and analyze large datasets to extract meaningful insights and features.Implement ML algorithms using Python and relevant libraries (e.G., Tensor Flow, Py Torch, Scikit-learn).Collaborate with data scientists and software engineers to integrate ML models into production systems.Evaluate model performance, identify areas for improvement, and iterate on solutions.Stay current with the latest advancements in machine learning research and technologies.Develop and maintain ML pipelines and infrastructure.Conduct experiments and hypothesis testing to validate ML approaches.Contribute to technical documentation and share knowledge within the team.Ensure responsible AI practices and ethical considerations are applied throughout the development process. RequirementsMaster's or Ph D in Computer Science, Data Science, Statistics, or a related quantitative field, or equivalent practical experience.Proven experience in developing and deploying machine learning models in a production environment.Strong proficiency in Python and common ML libraries/frameworks (e.G., Tensor Flow, Py Torch, Keras, Scikit-learn, Pandas, Num Py).Solid understanding of statistical modeling, data mining, and machine learning algorithms (e.G., regression, classification, clustering, deep learning).Experience with data preprocessing, feature engineering, and model evaluation techniques.Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.Knowledge of MLOps principles and tools for model deployment and monitoring is a plus.Experience with big data technologies (e.G., Spark) is advantageous.Excellent analytical, problem-solving, and critical thinking skills.Strong communication and collaboration abilities. BenefitsOur client offers a highly competitive salary, comprehensive benefits package, and exceptional opportunities for professional growth and research. You will work on cutting-edge AI projects with a team of leading experts in the field. The hybrid work model provides flexibility, and the company culture is focused on innovation, collaboration, and continuous learning. Enjoy access to advanced research facilities and contribute to impactful technological advancements. Benefits include generous annual leave, regular training, and participation in industry conferences. Join us in shaping the future of artificial intelligence from our base in Vigo .Our client, a leader in pioneering Research and Development, is seeking an accomplished Machine Learning Engineer to join their innovative team in Vigo, Galicia. This role adopts a hybrid work model, offering the flexibility of remote work combined with essential in-person collaboration. You will play a crucial role in designing, developing, and deploying sophisticated machine learning models and systems that power our next-generation technologies. The ideal candidate possesses a strong theoretical understanding of ML algorithms,



practical experience in implementing ML solutions, and a passion for leveraging data to drive innovation. You will work alongside a team of talented researchers and engineers, contributing to projects at the forefront of artificial intelligence and its applications.About the RoleOur client, a leader in pioneering Research and Development, is seeking an accomplished Machine Learning Engineer to join their innovative team in Vigo, Galicia. This role adopts a hybrid work model, offering the flexibility of remote work combined with essential in-person collaboration. You will play a crucial role in designing, developing, and deploying sophisticated machine learning models and systems that power our next-generation technologies. The ideal candidate possesses a strong theoretical understanding of ML algorithms, practical experience in implementing ML solutions, and a passion for leveraging data to drive innovation. You will work alongside a team of talented researchers and engineers, contributing to projects at the forefront of artificial intelligence and its applications.Key ResponsibilitiesDesign, build, train, and deploy machine learning models for various R&D applications.Develop and implement robust data pipelines for model training and evaluation.Collaborate with data scientists and software engineers to integrate ML models into production systems.Optimize ML algorithms and model performance for efficiency and scalability.Stay current with the latest advancements in machine learning, deep learning, and AI.Conduct experiments, analyze results, and document findings effectively.Troubleshoot and resolve issues related to ML model performance and deployment.Contribute to the selection and implementation of appropriate ML tools and frameworks.Develop MLOps practices for efficient model lifecycle management.Present technical concepts and project progress to stakeholders. RequirementsMaster's or Ph D in Computer Science, Data Science, Statistics, or a related quantitative field.3+ years of professional experience in Machine Learning Engineering or a related role.Strong programming skills in Python, with extensive experience using ML libraries (e.G., Tensor Flow, Py Torch, Scikit-learn).Solid understanding of core machine learning algorithms, statistical modeling, and data mining techniques.Experience with data processing and feature engineering.Familiarity with MLOps principles and tools (e.G., MLflow, Kubeflow).Experience with cloud platforms (AWS, Azure, GCP) and their ML services is highly desirable.Knowledge of software development best practices, including version control (Git).Excellent analytical, problem-solving, and communication skills.Ability to work effectively in a hybrid team setting.Experience with big data technologies (e.G., Spark) is a plus. BenefitsOur client offers a competitive salary, performance-based bonuses, and a comprehensive benefits package in Vigo. Benefit from the flexibility of a hybrid work model, supporting a balanced professional and personal life. We provide excellent health, dental, and vision insurance, along with a robust retirement savings plan. Opportunities for continuous professional development are a priority, including access to training, conferences, and advanced learning resources. Our client cultivates an innovative and collaborative R&D culture. Benefits include generous paid time off and support for ongoing learning and career advancement within the organization.Our client, a dynamic force in Inteligencia Artificial y Tecnologías Emergentes, is seeking a skilled Ingeniero/a de Machine Learning with a strong focus on MLOps to join their innovative team in A Coruña. This role is essential for bridging the gap between model development and production deployment, ensuring the seamless operation and scalability of our AI systems. You will be responsible for building and maintaining robust ML pipelines, automating workflows, and monitoring model performance in real-time. We are looking for an individual who is passionate about streamlining the ML lifecycle and possesses a blend of software engineering and data science expertise. This is a hybrid position, offering the best of both worlds: the flexibility of remote work and the collaborative energy of our A Coruña office. Join us to drive the operational excellence of our cutting-edge AI solutions.Our client, a dynamic force in Inteligencia Artificial y Tecnologías Emergentes, is seeking a skilled Ingeniero/a de Machine Learning with a strong focus on MLOps to join their innovative team in A Coruña. This role is essential for bridging the gap between model development and production deployment, ensuring the seamless operation and scalability of our AI systems. You will be responsible for building and maintaining robust ML pipelines, automating workflows, and monitoring model performance in real-time. We are looking for an individual who is passionate about streamlining the ML lifecycle and possesses a blend of software engineering and data science expertise. This is a hybrid position, offering the best of both worlds: the flexibility of remote work and the collaborative energy of our A Coruña office. Join us to drive the operational excellence of our cutting-edge AI solutions.Key ResponsibilitiesDesign, build, and manage scalable machine learning pipelines for training, evaluation, and deployment.Implement and maintain CI/CD pipelines for ML models.Develop and automate ML workflows using tools like Kubeflow, MLflow, or similar.Monitor model performance in production, detect drift, and trigger retraining.Implement infrastructure for model serving and inference.Collaborate with data scientists and software engineers to operationalize ML models.Ensure the reliability, scalability, and efficiency of ML systems.Manage and optimize cloud infrastructure for ML workloads.Implement best practices for MLOps, including version control, testing, and monitoring.Troubleshoot and resolve issues related to ML model deployment and operation. RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.Proven experience in a Machine Learning Engineer or MLOps Engineer role.Strong programming skills in Python.Experience with ML frameworks (e.G., Tensor Flow, Py Torch, scikit-learn).Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.Experience with containerization technologies (Docker, Kubernetes).Familiarity with CI/CD tools (e.G., Jenkins, Git Lab CI, Git Hub Actions).Understanding of ML lifecycle and best practices for production deployment.Experience with infrastructure as code tools (e.G., Terraform, Ansible) is a plus.Excellent problem-solving and debugging skills.Strong communication and collaboration abilities. BenefitsOur client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including access to training, conferences, and certifications. The hybrid work model offers flexibility, with regular team interactions at our modern office in A Coruña. Employees have access to state-of-the-art tools and technologies. A collaborative and innovative work culture encourages continuous learning and development. We also offer a retirement savings plan.



Be part of an exciting journey in AI development while enjoying the vibrant Galician lifestyle.Our client, What Jobs Direct, está buscando un Ingeniero Senior de Machine Learning altamente cualificado para unirse a su equipo dinámico y enfocado en la innovación. Esta posición remota te permitirá trabajar desde cualquier lugar, contribuyendo al desarrollo de soluciones de vanguardia en el campo de la inteligencia artificial. Serás una pieza clave en el diseño, implementación y despliegue de modelos de aprendizaje automático que impulsarán nuestros productos y servicios, interactuando con un equipo global apasionado por la tecnología y la resolución de problemas complejos. Buscamos a alguien con una mentalidad proactiva y una sólida experiencia en el ciclo de vida completo del desarrollo de modelos de IA.Key ResponsibilitiesDiseñar, desarrollar y optimizar algoritmos de machine learning para diversas aplicaciones, incluyendo visión artificial, procesamiento del lenguaje natural y sistemas de recomendación.Implementar y desplegar modelos de aprendizaje automático en entornos de producción escalables utilizando infraestructura en la nube .Realizar investigaciones sobre nuevas técnicas y herramientas de IA, evaluando su aplicabilidad y potencial impacto.Colaborar estrechamente con equipos de ingeniería de datos y desarrollo de software para integrar los modelos de IA en las plataformas existentes.Monitorizar el rendimiento de los modelos en producción, identificar desviaciones y realizar ajustes para mantener la precisión y eficacia.Documentar exhaustivamente los procesos de desarrollo, los resultados de los experimentos y las especificaciones de los modelos. RequirementsMáster o Doctorado en Informática, Inteligencia Artificial, Estadística o un campo relacionado.Experiencia demostrable de 5+ años en ingeniería de machine learning, con un historial de éxito en la entrega de proyectos.Profundo conocimiento de librerías y frameworks de ML como Tensor Flow, Py Torch, scikit-learn, etc.Experiencia sólida con lenguajes de programación como Python y herramientas de manipulación de datos.Familiaridad con plataformas cloud (AWS, Azure, GCP) y tecnologías de contenedores (Docker, Kubernetes).Excelentes habilidades analíticas y de resolución de problemas, con capacidad para comunicar hallazgos técnicos de manera efectiva. BenefitsSalario competitivo y oportunidades de bonificación basadas en el rendimiento.Flexibilidad total de trabajo remoto, permitiendo un equilibrio vida-trabajo excepcional.Acceso a programas de formación continua y presupuesto para conferencias y certificaciones.Protegido médico integral y planes de jubilación atractivos.Participación en proyectos innovadores que definen el futuro de la tecnología IA. Our client, a dynamic force in Inteligencia Artificial y Tecnologías Emergentes, is seeking a skilled Ingeniero/a de Machine Learning with a strong focus on MLOps to join their innovative team in A Coruña. This role is essential for bridging the gap between model development and production deployment, ensuring the seamless operation and scalability of our AI systems. You will be responsible for building and maintaining robust ML pipelines, automating workflows, and monitoring model performance in real-time. We are looking for an individual who is passionate about streamlining the ML lifecycle and possesses a blend of software engineering and data science expertise. This is a hybrid position, offering the best of both worlds: the flexibility of remote work and the collaborative energy of our A Coruña office. Join us to drive the operational excellence of our cutting-edge AI solutions.Our client, a dynamic force in Inteligencia Artificial y Tecnologías Emergentes, is seeking a skilled Ingeniero/a de Machine Learning with a strong focus on MLOps to join their innovative team in A Coruña. This role is essential for bridging the gap between model development and production deployment, ensuring the seamless operation and scalability of our AI systems. You will be responsible for building and maintaining robust ML pipelines, automating workflows, and monitoring model performance in real-time. We are looking for an individual who is passionate about streamlining the ML lifecycle and possesses a blend of software engineering and data science expertise. This is a hybrid position, offering the best of both worlds: the flexibility of remote work and the collaborative energy of our A Coruña office. Join us to drive the operational excellence of our cutting-edge AI solutions.Key ResponsibilitiesDesign, build, and manage scalable machine learning pipelines for training, evaluation, and deployment.Implement and maintain CI/CD pipelines for ML models.Develop and automate ML workflows using tools like Kubeflow, MLflow, or similar.Monitor model performance in production, detect drift, and trigger retraining.Implement infrastructure for model serving and inference.Collaborate with data scientists and software engineers to operationalize ML models.Ensure the reliability, scalability, and efficiency of ML systems.Manage and optimize cloud infrastructure for ML workloads.Implement best practices for MLOps, including version control, testing, and monitoring.Troubleshoot and resolve issues related to ML model deployment and operation. RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.Proven experience in a Machine Learning Engineer or MLOps Engineer role.Strong programming skills in Python.Experience with ML frameworks (e.G., Tensor Flow, Py Torch, scikit-learn).Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.Experience with containerization technologies (Docker, Kubernetes).Familiarity with CI/CD tools (e.G., Jenkins, Git Lab CI, Git Hub Actions).Understanding of ML lifecycle and best practices for production deployment.Experience with infrastructure as code tools (e.G., Terraform, Ansible) is a plus.Excellent problem-solving and debugging skills.Strong communication and collaboration abilities. BenefitsOur client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including access to training, conferences, and certifications. Our client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including access to training, conferences, and certifications. Our client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including access to training, conferences, and certifications. Our client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including access to training, conferences, and certifications. Our client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including access to training, conferences, and certifications. Our client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including access to training, conferences, and certifications. Our client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance. We provide ample opportunities for professional growth, including... etc.... [content continues as above]#J-18808-Ljbffr

📌 Senior Data Scientist (Ai/Ml Focus) (España)
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