Senior AI Engineer (m/f/d)
T-Systems Iberia23 hours ago
Gijón, Spain +7 moreSenior
Responsibilities
- Design, develop, and lead the implementation of production-grade AI and machine learning solutions.
- Define and evolve MLOps platforms and pipelines covering model training, validation, versioning, deployment, monitoring, and governance.
- Industrialize Data Science prototypes and notebooks into high-performance production services.
- Design APIs, microservices, batch-processing services, and event-oriented architectures for integrating AI and LLMs with enterprise applications.
- Implement automated testing, code review, technical documentation, observability, modular design, and CI/CD processes.
- Define model monitoring strategies covering performance, drift detection, data quality, explainability, and alerting.
- Integrate AI solutions with data platforms, cloud architectures, and enterprise ecosystems while ensuring security, performance, and resilience.
- Define reference architectures, technical standards, and development best practices for production AI solutions.
- Provide technical leadership and mentorship to junior engineers and collaborate with business, engineering, architecture, and operations teams.
Requirements
- More than 5 years of experience designing, developing, and industrializing AI, machine learning, or generative AI solutions in enterprise environments.
- Strong software engineering experience with design principles, architecture, automated testing, code review, documentation, and development best practices.
- Advanced proficiency in Python and AI/ML ecosystems including PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, and generative AI libraries.
- Demonstrated experience designing and implementing full-lifecycle MLOps platforms and pipelines.
- Advanced knowledge of Git and continuous integration and deployment processes.
- Experience with Docker, Kubernetes, REST APIs, microservices, batch processing, event-oriented architectures, and cloud platforms including Azure, AWS, or Google Cloud Platform.
- Experience integrating AI solutions with data platforms, distributed architectures, and enterprise ecosystems.
- Ability to lead technical decisions, mentor engineers, collaborate across disciplines, and communicate complex solutions to varied audiences.
- Preferred experience with generative AI, LLM applications, RAG, intelligent agents, LangChain, LlamaIndex, Semantic Kernel, Azure AI Foundry, Azure Machine Learning, MLflow, Kubeflow, Vertex AI, Amazon SageMaker, Prometheus, Grafana, OpenTelemetry, Terraform, Bicep, ARM, CloudFormation, Spark, or Databricks.
- Knowledge of AI governance, security, privacy, responsible AI, regulatory compliance, and relevant cloud or AI certifications.
Benefits
- International, dynamic, and collaborative work environment.
- Hybrid work model combining remote and in-person work.
- Flexible schedule and four weeks of remote work per year.
- Access to Coursera, weekly English, Spanish, and German classes, global mentoring sessions, and Experience Days.
- Flexible compensation plan including health insurance, meal vouchers, childcare, and transportation benefits.
- Telemedicine, life and accident insurance, social fund, and access to health, wellbeing, and legal specialists.
- More than 26 working days of annual vacation and 100% salary during medical leave.
Tech Stack
Apache SparkAWSAzureDatabricksDockerGitGoogle Cloud PlatformGrafanaHugging Face TransformersKubernetesMLflowPrometheusPythonPyTorchscikit-learnTensorFlowTerraform
Categories
About T-Systems Iberia
T-Systems Iberia provides IT services and consulting—cloud migration and managed services, SAP, outsourcing, and AI/ML platforms—for enterprises and public-sector organizations in Spain and Portugal. It designs and operates hybrid-cloud, data, and application modernization projects, including MLOps pipelines and systems integration. Headquartered in Barcelona and founded in 2001, it is the Iberian arm of T-Systems, the IT services subsidiary of Deutsche Telekom.