Data Scientist / MLOps Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇪🇸 Spain – Remote

💵 €53k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 4%

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SCI Serviclients

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

💼 Consulting

🔒 Cybersecurity

🎯 Recruiter

Consulting • Cybersecurity • Recruitment

SCI Serviclients is an IT consulting company focused on making technology better through IT outsourcing, managed services and IT staffing/headhunting. They provide a broad range of IT services and specialties (SAP, Java, . NET, mobile, DevOps, Big Data, BI, databases, integrations/APIs) and are particularly focused on cybersecurity offerings including ethical hacking, pentesting (black/gray/white box), red/blue team exercises, forensics, DDoS testing, cloud/SaaS security analysis, compliance (PCI-DSS, GDPR), and security monitoring/anti-malware tools. Their services target medium and large private and public organizations and include BPO, recruitment, outsourcing and specialized security products and managed security services.

📋 Description

• Desarrollar soluciones en Python aplicadas a machine learning e ingeniería de datos • Desplegar y operar modelos de machine learning en entornos productivos • Trabajar con Docker, Kubernetes y servicios cloud • Diseñar y mantener pipelines de datos y automatizaciones CI/CD para machine learning • Gestionar el versionado de código y experimentos con Git, MLflow u otras herramientas equivalentes • Monitorizar modelos, detectar drift y participar en procesos de retraining • Configurar, administrar y optimizar componentes de Stratio • Colaborar en prácticas de MLOps, gobernanza, explicabilidad y operación continua • Asegurar que los modelos sean fiables, trazables, monitorizables y sostenibles en el tiempo

🎯 Requirements

• Al menos 3 años de experiencia en machine learning, ingeniería de datos o MLOps • Comodidad trabajando con Python, cloud, Docker, Kubernetes, CI/CD y herramientas de control de experimentos • Experiencia en monitorización de modelos, retraining y detección de drift • Experiencia o conocimientos de Spark, Airflow, Kubeflow, APIs de inferencia, microservicios o proyectos de industrialización de modelos ML • Experiencia configurando, administrando y optimizando componentes de Stratio

🏖️ Benefits

• Teletrabajo 100% desde cualquier punto de España • Horario con tres días de jornada intensiva y dos días de jornada partida • Autonomía, continuidad y margen para seguir creciendo en prácticas modernas de datos, automatización y gobierno de modelos • Crecimiento real en MLOps • Salario de 53.000 € SBA