Job location
Municipality of Madrid, Spain
Tech stack
API
Artificial Intelligence
Automation of Tests
Software Quality
Continuous Integration
Github
Python
Machine Learning
Natural Language Processing
Fortify (Software)
Azure
SONAR (Symantec)
SQL Databases
Tokenization
GIT
Pytest
Git Flow
Kubernetes
Job description
analysis and information extraction. - Build and maintain APIs related to AI/ML capabilities. - Deploy, maintain and monitor productive AI applications, including Kubernetes-based deployments. - Contribute to CI/CD pipelines using Git, GitHub Actions, Sonar, Fortify or similar tools. - Apply testing practices using frameworks such as Pytest. - Collaborate with Data Scientists, Product Owners, CTOs and technical teams to deliver robust AI solutions. Mandatory requirements - Around 4 years of experience developing and maintaining productive applications with AI components. - Strong hands-on experience in Python and SQL. - Experience with Kubernetes and deployment of production applications. - Experience creating APIs related to AI/ML services. - Knowledge of Git-based workflows and CI/CD practices. - Experience with code quality, security and testing tools, including Pytest, Sonar and Fortify or similar. - Practical knowledge of NLP techniques such as tokenization
Requirements
embeddings, text classif J-18808-Ljbffr
About the company
Senior AI Engineer / Data (Document AI) We are still looking for the very Top Talent and we would be delighted if you were to join our team. More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35,000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. What we look for? We are looking for a hands-on Senior AI Engineer / Data (Document AI) profile, able to bridge data science and IT operations, and capable of contributing to end-to-end delivery of AI-powered document processing capabilities in a production-oriented environment. Key Responsibilities - Develop and maintain AI applications focused on document processing and document intelligence. - Implement AI and machine learning models using Python, including NLP, OCR, embeddings, text classification, similarity