AI Expert – Azure DevOps CI/CD - 10826901

ITProposal; Amsterdam; On-site; EUR 70,000 - 100,000; Part time

Job summary

AI Expert (Python) – Azure DevOps CI/CD role in Amsterdam, onsite for a 6‑month contract. You will design, develop, and deploy enterprise AI/ML and Generative AI solutions within a banking-grade environment.

You will integrate models into Azure DevOps, build CI/CD for model packaging, validation, deployment, and lifecycle management while ensuring security and governance.

Qualifications

• Proven track record in enterprise AI/ML deployments.
• Experience delivering AI solutions in regulated environments (banking preferred).
• Strong collaboration with DevOps, product owners and data teams.

Responsibilities

• Design, develop, and deploy ML/DL models and Generative AI apps.
• Integrate AI into Azure DevOps pipelines with CI/CD and MLOps.
• Build scalable Python apps, APIs, and data processing pipelines.
• Ensure governance, security, and compliance in production.

Skills

Python

Machine Learning

Deep Learning

Generative AI

Azure DevOps

CI/CD

MLOps

REST API

Microservices

Data engineering

ETL pipelines

Model deployment

Git

Agile/Scrum

AI Agents

Education

Bachelor's or Master's in CS/Software Eng/AI/Data Science

Tools

Nexus Repository

Ansible

Enterprise DevOps toolchains

Docker/Kubernetes

Job description

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.