Engineer Mlops – Ingles – Remoto
ESPAÑA, ESPAÑA
IRIUM
En Irium somos expertos en diseñar soluciones tecnológicas, llevar a cabo servicios gestionados, dar soporte informático y realizar consultoría para la transformación digital de tu empresa.
🚀 En IRIUM nos preocupamos porque no dejes de perseguir tus sueños. Prepárate para conquistar tus metas, y ten siempre presente disfrutar del camino.
Estamos buscando un/a ENGINEER MLOPS con un nivel C1 de inglés con experiencia de entre 3 y 6 años en formato remoto.
The service consists of designing, implementing, and maintaining MLOps infrastructure to support machine learning lifecycle management. This includes automating data pipelines, enabling continuous integration and deployment of ML models, and ensuring scalability and reliability of the platform using AWS-native services. The service will also involve close collaboration with data scientists, data engineers, and DevOps teams to streamline model deployment and monitoring processes.
🔍 ¿Qué buscamos?:
RESPONSIBILITIES:
• Design and implement CI/CD pipelines for ML workflows.
• Automate data ingestion, transformation, and validation processes.
• Manage and optimize big data processing using AWS EMR and related services.
• Implement parallelization strategies to improve performance and scalability.
• Monitor and troubleshoot production ML pipelines.
QUALIFICATIONS:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in MLOps.
• Strong knowledge of AWS services, especially EMR.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Proficiency in Python and scripting for automation.
• Familiarity with big data tools (e.g., Spark, Hadoop).
• Understanding of containerization (Docker) and orchestration (Kubernetes) is a plus.
Must Have:
• CI/CD for ML workflows
• AWS (including EMR)
• Big Data processing
• Parallelization techniques
• C1 English level required
Nice to have:
• Experience with infrastructure as code (Terraform, CloudFormation)
• Familiarity with ML model monitoring and drift detection
• Knowledge of data validation frameworks (e.g., Great Expectations)
⭐ ¿Qué Ofrecemos?
• Lugar de trabajo: 100% REMOTO - ✅IMPRESCINDIBLE residencia en ESPAÑA
• Contrato indefinido con IRIUM
• Retribución flexible (restaurante, transporte y guardería) ✌
• Banda salarial: Según valía y experiencia
• 23 días de vacaciones 🏕️
• Buen clima laboral 🙍♀️🙍♂️
• Acceso ilimitado a formación tecnológica puntera en modalidad barra libre. 📚
• Club de beneficios para empleados con descuentos directos y miles de ofertas en marcas, hoteles, agencias de viaje, cines, ropa… 💰
✨Pasarás a formar parte de un gran equipo de personas que estarán siempre dispuestas a ayudarte.
IRIUM es una empresa formada por profesionales con inquietudes, dinámicos y resolutivos. Nuestros valores son la responsabilidad y el compromiso con el trabajo bien hecho, este es el espíritu que buscamos en IRIUM, sea cual sea tu edad, si te reconoces ¡esta es tu empresa!
Podemos construir juntos el futuro. ¿Hablamos?
🟢🔵🟣
Estamos buscando un/a ENGINEER MLOPS con un nivel C1 de inglés con experiencia de entre 3 y 6 años en formato remoto.
The service consists of designing, implementing, and maintaining MLOps infrastructure to support machine learning lifecycle management. This includes automating data pipelines, enabling continuous integration and deployment of ML models, and ensuring scalability and reliability of the platform using AWS-native services. The service will also involve close collaboration with data scientists, data engineers, and DevOps teams to streamline model deployment and monitoring processes.
🔍 ¿Qué buscamos?:
RESPONSIBILITIES:
• Design and implement CI/CD pipelines for ML workflows.
• Automate data ingestion, transformation, and validation processes.
• Manage and optimize big data processing using AWS EMR and related services.
• Implement parallelization strategies to improve performance and scalability.
• Monitor and troubleshoot production ML pipelines.
QUALIFICATIONS:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in MLOps.
• Strong knowledge of AWS services, especially EMR.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Proficiency in Python and scripting for automation.
• Familiarity with big data tools (e.g., Spark, Hadoop).
• Understanding of containerization (Docker) and orchestration (Kubernetes) is a plus.
Must Have:
• CI/CD for ML workflows
• AWS (including EMR)
• Big Data processing
• Parallelization techniques
• C1 English level required
Nice to have:
• Experience with infrastructure as code (Terraform, CloudFormation)
• Familiarity with ML model monitoring and drift detection
• Knowledge of data validation frameworks (e.g., Great Expectations)
⭐ ¿Qué Ofrecemos?
• Lugar de trabajo: 100% REMOTO - ✅IMPRESCINDIBLE residencia en ESPAÑA
• Contrato indefinido con IRIUM
• Retribución flexible (restaurante, transporte y guardería) ✌
• Banda salarial: Según valía y experiencia
• 23 días de vacaciones 🏕️
• Buen clima laboral 🙍♀️🙍♂️
• Acceso ilimitado a formación tecnológica puntera en modalidad barra libre. 📚
• Club de beneficios para empleados con descuentos directos y miles de ofertas en marcas, hoteles, agencias de viaje, cines, ropa… 💰
✨Pasarás a formar parte de un gran equipo de personas que estarán siempre dispuestas a ayudarte.
IRIUM es una empresa formada por profesionales con inquietudes, dinámicos y resolutivos. Nuestros valores son la responsabilidad y el compromiso con el trabajo bien hecho, este es el espíritu que buscamos en IRIUM, sea cual sea tu edad, si te reconoces ¡esta es tu empresa!
Podemos construir juntos el futuro. ¿Hablamos?
🟢🔵🟣
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
MLOps Jobs
Tags: AWS Big Data CI/CD CloudFormation Computer Science Data pipelines DevOps Docker Engineering GitHub GitLab Hadoop Jenkins Kubernetes Machine Learning ML models MLOps Model deployment Pipelines Python Spark Terraform
Regions:
Remote/Anywhere
Europe
Country:
Spain
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