AI Engineer (ODS) at Santander

Madrid, Community of Madrid, Spain

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Banking, FinanceIndustries

Requirements

MSc or equivalent professional experience in Computer Science, Software Engineering, or related technical fields
Strong experience deploying AI/ML models into production, including containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP)
Proficiency in programming languages such as Python, Java, or similar, with deep knowledge of AI frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face)
Hands-on experience with continuous integration and deployment (CI/CD), automation tools, and model lifecycle management
Strong understanding of software engineering principles, microservices, API design, and system architecture
Experience with Generative AI technologies, including large language models (LLMs) and diffusion models (Nice-to-Have)
Experience with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation (Nice-to-Have)
Familiarity with financial services, banking technologies, or other regulated environments (Nice-to-Have)
Contributions to open-source AI engineering projects or active participation in the global AI engineering community (Nice-to-Have)

Responsibilities

Design, implement, and optimize scalable AI systems, ensuring robustness, scalability, and performance in production
Collaborate closely with AI Scientists to translate AI models into production-grade applications
Deploy and maintain ML/DL models and pipelines on cloud-based infrastructures, ensuring high availability and performance
Develop and enhance tools for automated model training, validation, monitoring, and retraining
Integrate AI solutions with existing systems, managing API design, microservices architecture, and infrastructure provisioning
Implement best practices around MLOps, data versioning, experiment tracking, reproducibility, and CI/CD workflows
Work closely with Product Owners and Business Stakeholders to ensure technical solutions align with business objectives
Stay up-to-date with emerging trends in AI engineering, cloud services, and infrastructure to continuously enhance the team's capabilities

Skills

Machine Learning

Deep Learning

MLOps

CI/CD

Microservices

API Design

Cloud Infrastructure

Model Deployment

Data Pipelines

Experiment Tracking

Data Versioning

Santander

Provides banking, investment, and insurance services

About Santander

Santander Bank provides a variety of financial services to individuals, small businesses, and large corporations in the United States. Its offerings include savings and checking accounts, loans, credit cards, and investment products. The bank also has specialized services through Santander Investment Services and insurance products via Santander Securities LLC. Santander stands out from its competitors by focusing on community growth, committing $13.6 billion to support initiatives like the 'Cultivate Small Business' program, which aids early-stage entrepreneurs, especially from underrepresented groups. The bank generates revenue through interest on loans, service fees, and commissions, while promoting responsible banking practices and financial education. Santander's goal is to empower individuals and businesses, enhance community prosperity, and provide comprehensive financial solutions.

Boston, MassachusettsHeadquarters

1902Year Founded

$75MTotal Funding

POST_IPO_DEBTCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees