Senior AI Software Engineer

<h2><span><span><span><span><span><span><span><span><span><span><span><b>We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. </b></span></span></span></span></span></span></span></span></span></span></span></h2><h2></h2><h2><span><span><span><span><span><span><span><span><span><span><span><b>To start a career that is out of the ordinary, please apply...</b></span></span></span></span></span></span></span></span></span></span></span></h2><p></p><h2><span><span><span><span><span><span><span><span><span><span><span><b><u>Job Details</u></b></span></span></span></span></span></span></span></span></span></span></span></h2><p><span><span><b><span>Location: Copenhagen</span></b><span> </span></p><p><span> </span></p><p><span><span><b><span>About the Role</span></b><span> <br/>We are looking for a skilled and motivated </span><b><span>AI Software Engineer</span></b><span> to join our Global AI team. In this role, you will help ensure our machine learning framework and AI infrastructure are scalable, reliable, and easy to maintain. You will work at the intersection of software engineering and data science, enabling our global team of data scientists to deliver robust Bayesian inference models and AI-powered products efficiently and securely. </span></p><p><span>You will help drive engineering excellence in the AI team—establishing best practices for code quality, testing, version control, continuous integration, and deployment. We offer an exciting opportunity to contribute to a high-impact AI platform in a company that values collaboration, craftsmanship, and ownership. </span></p><p><span> </span></p><p><span><span><b><span>About Kantar and LIFT ROI</span></b><span> </span></p><p><span>Kantar is the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere. LIFT ROI is a Kantar product that delivers an always-on Platform as a Service that uses state-of-the-art Bayesian statistics and machine learning to deliver highly granular Marketing Mix Models, including simulation and optimisation functionality, to our clients. </span></p><p><span> </span></p><p><span><span><b><span>Goals</span></b><span> </span></p><ul><li><p><span>Build, maintain, and optimize the AI software framework used by data scientists across the organization. </span></p></li></ul><ul><li><p><span>Champion high-quality software engineering practices within the AI team. </span></p></li></ul><ul><li><p><span>Act as a bridge between data scientists and software engineers to ensure clarity, alignment, and scalability. </span></p></li></ul><ul><li><p><span>Contribute to automation, testing, and deployment pipelines that support model development and delivery at scale. </span></p></li></ul><p><span> </span></p><p><span><span><b><span>Responsibilities</span></b><span> </span></p><p></p><p><span><span><b><span>Software Development &amp; Infrastructure</span></b><span> </span></p><ul><li><p><span>Develop and maintain core components of our AI/ML framework, with a focus on performance, maintainability, and scalability. </span></p></li></ul><ul><li><p><span>Write clean, tested, well-documented code—primarily in Python and R </span></p></li></ul><ul><li><p><span>Implement, enforce and maintain CI/CD pipelines to streamline development and deployment. </span></p></li></ul><ul><li><p><span>Work closely with platform engineers to support containerization, orchestration (e.g., Docker, Kubernetes), and cloud deployment. </span></p></li></ul><p><span><span><b><span>Collaboration &amp; Communication</span></b><span> </span></p><ul><li><p><span>Facilitate seamless collaboration between the global and local data science team and software engineering teams. </span></p></li></ul><ul><li><p><span>Actively participate in code reviews, technical discussions, and architectural planning. </span></p></li></ul><ul><li><p><span>Translate research-oriented or statistical code into production-grade, scalable services. </span></p></li></ul><ul><li><p><span>Ensure robust integration between machine learning outputs and broader backend systems (via APIs, pipelines, etc.). </span></p></li></ul><p><span><span><b><span>Security &amp; Quality Assurance</span></b><span> </span></p><ul><li><p><span>Maintain a proactive approach to testing, code coverage, and system monitoring. </span></p></li></ul><ul><li><p><span>Contribute to automated vulnerability detection and remediation workflows. </span></p></li></ul><ul><li><p><span>Promote a culture of observability, maintainability, and continuous improvement within the AI team. </span></p></li></ul><p><span> </span></p><p><span><span><b><span>Qualifications</span></b><span> </span></p><ul><li><p><span>3+ years of experience in software engineering or backend development, ideally with exposure to machine learning or data science environments. </span></p></li></ul><ul><li><p><span>Proficiency in one or mor