AI Expert – Azure DevOps CICD

Job Title: AI Expert (Python) Azure DevOps CI/CD
Location: Amsterdam Netherlands (Onsite)
Contract Duration: 6 Months
Start Date: 31 August 2026
Experience Required: 68 Years
Employment Type: Contract

We are seeking an experienced AI Expert (Python) to join a leading enterprise banking environment in Amsterdam. The successful candidate will play a key role in driving AI-powered digital transformation by designing developing and deploying enterprise-grade AI/ML and Generative AI solutions.

This role requires strong expertise in Python development Machine Learning Azure DevOps CI/CD and MLOps with the ability to deliver scalable AI solutions that integrate seamlessly into enterprise DevOps pipelines while complying with banking security and governance standards.

• Design develop and deploy Machine Learning and Deep Learning models.
• Build enterprise AI solutions including:
  • Intelligent process automation
  • Incident prediction
  • Root cause analysis
  • AI-powered knowledge assistants
  • Chatbots and Generative AI applications
• Train validate evaluate and optimize AI models for accuracy scalability and performance.
• Develop AI solutions that align with business objectives and operational requirements.

• Design and develop enterprise-grade Python applications.
• Build scalable APIs and microservices to expose AI capabilities.
• Develop reusable maintainable and well-tested Python code.
• Build data processing pipelines capable of handling large enterprise datasets.
• Debug optimize and improve application performance.

• Integrate AI/ML models into Azure DevOps pipelines.
• Build automated CI/CD workflows for:
  • Model build and testing
  • Deployment automation
  • Model versioning
  • Artifact management
• Develop and maintain MLOps pipelines for continuous training validation testing and deployment.
• Ensure seamless deployment of AI solutions into enterprise production environments.

• Perform data preprocessing and feature engineering.
• Design scalable data pipelines.
• Manage the complete AI model lifecycle:
  • Data preparation
  • Training
  • Validation
  • Deployment
  • Monitoring
  • Continuous improvement
• Monitor model performance and optimize reliability and scalability.

• Work closely with:
  • Azure DevOps platform teams
  • DevOps Engineers
  • Product Owners
  • Business Stakeholders
  • Data Analytics teams
  • Infrastructure teams
• Translate banking business requirements into scalable AI solutions.
• Ensure compliance with enterprise governance audit security and regulatory standards.

• 68 years of professional software development experience
• Strong Python programming expertise
• Machine Learning development
• Deep Learning frameworks
• Generative AI application development
• AI Agents
• Azure DevOps
• CI/CD pipeline development
• MLOps
• REST API development
• Microservices architecture
• Data engineering and ETL pipelines
• Model deployment and monitoring
• Git version control
• Enterprise software development
• Performance optimization
• Agile/Scrum methodologies

• Banking or Financial Services domain experience
• Knowledge of enterprise governance and regulatory compliance
• Experience with:
  • Nexus Repository
  • Ansible
  • Enterprise DevOps toolchains
• Cloud-native AI deployments
• Knowledge of Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Containerization (Docker/Kubernetes) is advantageous

• Microsoft Azure
• Python
• Machine Learning
• Azure DevOps
• CI/CD
• AI Agents
• MLOps
• Problem-solving
• Analytical thinking
• Communication and stakeholder management
• Team collaboration
• Continuous improvement mindset

Bachelors or Masters degree in one of the following:

• Computer Science
• Software Engineering
• Artificial Intelligence
• Data Science
• Information Technology
• Or an equivalent technical qualification

The ideal candidate is an experienced AI Engineer who combines strong Python development skills with expertise in Machine Learning Generative AI Azure DevOps and enterprise CI/CD practices. You will have proven experience delivering AI solutions from concept through production deployment while working within secure regulated enterprise environments such as banking.