Job Description

Responsibilities

- Design, develop and lead the implementation of advanced Artificial Intelligence and Machine Learning solutions for production environments, ensuring their scalability, reliability and maintainability.
- Define, implement and evolve MLOps platforms and pipelines that automate the entire lifecycle of models: training, validation, versioning, deployment, monitoring and governance.
- Collaborate closely with Data Science teams to industrialize models, transforming prototypes and notebooks into high-performance productive services.
- Design and develop APIs, microservices and architectures aimed at integrating AI models and LLMs with business applications and business processes.
- Lead the adoption of good software engineering practices, including automated testing, code review,



technical documentation, observability, and modular design.
- Design and implement CI/CD processes for AI applications and models, promoting automation and continuous delivery.
- Define and implement model monitoring strategies, including performance metrics, drift detection, data quality, explicability and alerting.
- Integrate AI solutions with data platforms, cloud architectures and business ecosystems, ensuring high standards of security, performance and resilience.
- Participate in the design of reference architectures for AI solutions, establishing technical standards]]>

📌 Senior AI Engineer (m/f/d) (Granada)
🏢 T-Systems
📍 Granada