.Site Reliability Engineer Kantar is the world's leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere. We are currently seeking a highly skilled and motivated Site Reliability Engineer to join our Global Data Science and Innovation team at Kantar. As a member of our team, you will have the unique opportunity to work on exciting and challenging AI-led projects within our organization. This fast-paced and entrepreneurial environment will allow you to contribute to the development of world-class AI solutions using the latest advancements in AI/ML. Responsibilities: Develop new features in our framework to enable enhanced functionality for both internal and external users. Champion good software development practices within the AI team. Write tests and documentation to ensure the quality and maintainability of our codebase. Integrate machine learning models with other systems to facilitate seamless data flow and analysis. Build and maintain scalable and efficient AI pipelines and infrastructure for deployment. Deploy AI models and solutions into production environments, ensuring stability and optimal performance. Implement robust version control and model management practices to track changes and updates. Collaborate closely with the broader engineering team to align with the organization's goals and objectives. Engage in cross-team information exchange, sharing insights and innovative solutions within the AI/ML domain. Collaborate with teams by using models and their output to enhance decision-making effectiveness. Requirements: Degree from a prestigious technical institute in a related field. 3 to 8 years as a Site Reliability Engineer (background in Infrastructure). Excellent level of experience DevOps (automation). Technical depth with continuous integration/continuous deployment (CI/CD) pipelines and coding in Python. Strong coding skills and experience in R. Desired skills that would be a distinct advantage: Experience in developing and maintaining live deployments. Previous involvement in larger software projects, writing code for others to read and use. Working knowledge of R Shiny. Comfortable working in global setups with diverse cross-geography teams and cultures. Seeking individuals who bring a high level of enthusiasm, motivation, and a natural inclination to explore and take initiative. Strong English language proficiency, encompassing both technical and business-related communication skills. Meticulous attention to detail and the ability to balance the big picture with fine details. Other valued skills: Familiarity with cloud platforms like Azure, AWS, or Google Cloud. Experience with containerization tools (e.G., Docker, Kubernetes), databases (e.G., MySQL, PostgreSQL), and deployment tools (e.G., Azure DevOps). Strong familiarity with Linux operating systems, including system administration, shell scripting, and problem-solving
