Key skills
CloudCyber SecurityDistributed SystemsMicroservicesNoSQLSQL.NETC#CAIMachine LearningMLGenerative AIMLOpsMentoringProduct Management
About this role
Role Overview
- Drive Kantar’s technology transformation by architecting and delivering scalable AI solutions
- Lead the technical direction of AI projects
- Mentor engineers and foster innovation within the team
- Collaborate with Data Science, Product Management, and wider technology groups
Requirements
- 2–4 years in a principal engineer, technical lead, or software architect role
- Proven experience in AI engineering, including building, deploying, and maintaining machine learning and generative AI solutions
- Strong knowledge of MLOps practices for continuous integration, deployment, and monitoring of ML/AI models
- Deep expertise in Microsoft .NET Core, C#, and modern back-end technologies
- Strong understanding of microservices architecture, distributed systems, and cloud-native design patterns
- Experience with SQL databases and NoSQL databases
- Secure coding practices with a strong grasp of cybersecurity threats
- Experience mentoring teams and fostering a culture of continuous learning and technical excellence
Tech Stack
- Cloud
- Cyber Security
- Distributed Systems
- Microservices
- NoSQL
- SQL
- .NET
Benefits
- Health insurance
- Paid time off
- Flexible working arrangements
- Professional development opportunities