* 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, DevOps, 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. Adecuado 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, DevOps, 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 WhatsApp AI agents
* AI workflow and proposal-generation agents
* Model training, validation, monitoring, and versioning
* Experiment tracking with MLflow
* TensorFlow, Keras, scikit-learn, OpenAI, Anthropic, Gemini, Grok, and Ollama Software Engineering
* Advanced Python
* TypeScript and JavaScript
* PHP, HTML, and CSS
* FastAPI, Flask, and Django
* REST APIs and backend system design
* Automated testing with pytest
* Software-quality controls and SonarQube quality gates MLOps, DevOps, and Cloud
* CI/CD architecture and implementation
* GitHub 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
* PostgreSQL, 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, DevOps, 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 (Comunidad de Madrid)
🏢 Encardio Rite Group
📍 Comunidad de Madrid