Requirement ID: 10826901
Job Title: AI Expert (Python) – Azure DevOps CI/CD
Location: Amsterdam, Netherlands (Onsite)
Contract Duration: 6 Months
Start Date: 31 August 2026
Experience Required: 6–8 Years
Employment Type: Contract
Job Summary
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.
Key Responsibilities
AI/ML & Generative AI Development
- 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.
Python Development
- 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.
Azure DevOps & CI/CD
- 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.
Data Engineering & Model Lifecycle Management
- 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.
Enterprise Collaboration
- 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.
Required Skills
- 6–8 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
Preferred Skills
- 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
Key Competencies
- 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
Education
Bachelor's or Master's degree in one of the following:
- Computer Science
- Software Engineering
- Artificial Intelligence
- Data Science
- Information Technology
- Or an equivalent technical qualification
What We're Looking For
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.
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