AI Expert - Azure DevOps CI/CD - 10826901

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. 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.

• 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, * 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, 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, 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.