5+ years leading technology strategy, engineering teams, and AI product delivery. 6+ years designing and deploying production-grade AI and machine-learning solutions. 5+ years with cloud platforms, Dev Ops, CI/CD, containerization, and data pipelines. Experience managing multidisciplinary teams of up to 10 people. Proven delivery of AI solutions within banking, financial services, healthcare, insurance, or real estate. Experience working directly with enterprise customers and senior stakeholders. Startup, co-founder, CTO, or technology-department-building experience is strongly preferred. Idóneo Experience Mix 5+ years leading technology strategy, engineering teams, and AI product delivery. 6+ years designing and deploying production-grade AI and machine-learning solutions. 5+ years with cloud platforms, Dev Ops, CI/CD, containerization, and data pipelines. Experience managing multidisciplinary teams of up to 10 people. Proven delivery of AI solutions within banking, financial services, healthcare, insurance, or real estate. Experience working directly with enterprise customers and senior stakeholders. Startup, co-founder, CTO, or technology-department-building experience is strongly preferred. Education Double Degree in Mathematics and Computer Science, or an equivalent degree in Computer Science, Mathematics, Artificial Intelligence, Data Science, Engineering, or a closely related quantitative field. Strong academic record preferred. Professional fluency in English and Spanish. Core Skills Leadership and Strategy Technology strategy and annual planning Engineering and AI team leadership Agile project and resource management Technical recruitment,



mentoring, and training Project budgeting, costing, pricing, and cash-flow forecasting Enterprise stakeholder and client management Information security and ISO 27001 compliance Artificial Intelligence and Machine Learning Machine-learning model development and production deployment Predictive modelling, lead scoring, attribution, and collections optimization Generative AI and large language models Voice and Whats App AI agents AI workflow and proposal-generation agents Model training, validation, monitoring, and versioning Experiment tracking with MLflow Tensor Flow, Keras, scikit-learn, Open AI, Anthropic, Gemini, Grok, and Ollama Software Engineering Advanced Python Type Script and Java Script PHP, HTML, and CSS Fast API, Flask, and Django REST APIs and backend system design Automated testing with pytest Software-quality controls and Sonar Qube quality gates MLOps, Dev Ops, and Cloud CI/CD architecture and implementation Git Hub Actions and Google Cloud Build Docker and Kubernetes Argo Workflows and Apache Airflow AWS and Google Cloud Platform Cloud-native ETL pipelines Model deployment, monitoring, and production support Grafana and Prometheus Data and Analytics Postgre SQL, Redis, Supabase, and SAS Power BI, Looker Studio,



and data visualization Data ingestion and transformation pipelines Financial and operational reporting systems Automation n8n and Make Cron jobs, event triggers, and workflow orchestration Hybrid low-code and custom-developed automation systems Key Responsibilities Define and implement the annual technology roadmap in alignment with business objectives. Lead AI, machine-learning, software-engineering, data, Dev Ops, and MLOps initiatives. Design and deploy production AI solutions for enterprise customers. Develop predictive models, generative-AI applications, conversational agents, and intelligent automation systems. Establish scalable model-training, experiment-tracking, deployment, monitoring, and retraining processes. Design and maintain cloud-native architectures across AWS and GCP. Implement CI/CD pipelines, automated testing, code-quality controls, and secure development practices. Lead multidisciplinary teams using agile methodologies. Recruit, train, mentor, and develop technical talent. Prepare project plans covering scope, resources, timelines, costs, risks, and commercial pricing. Manage technical relationships with enterprise customers and communicate complex solutions to non-technical stakeholders. Ensure compliance with ISO 27001 and information-security requirements throughout the AI development lifecycle. Build internal systems for financial tracking, operational reporting, workflow automation, and proposal generation. Evaluate emerging AI technologies and determine their suitability for customer and internal applications. #J-18808-Ljbffr

📌 Senior data engineer (Madrid)
🏢 Encardio Rite Group
📍 Madrid