About the Role
We are seeking a highly skilled Cloud Data & AI Engineer with strong expertise in MLOPS, Cloud Data Engineering, Artificial Intelligence, and the Insurance domain. The successful candidate will be responsible for designing, developing, and deploying scalable cloud-based data platforms and AI solutions, including Generative AI and Large Language Model (LLM) use cases. The role requires close collaboration with business, data, and technology teams to deliver reliable, secure, and high-performing data products that drive business value.
Responsibilities
•Design, build, and maintain scalable, secure, and high-performance data platforms on cloud environments.
•Develop and optimize data pipelines for batch and real-time data processing.
•Develop, deploy, and optimize AI/ML solutions including Generative AI and LLM-based applications.
•Integrate AI services into cloud-native data platforms.
•Utilize MLflow for experiment tracking, model registry, versioning, and deployment.
•Establish and maintain MLOps practices for model governance and reproducibility.
Requirements
•Hands-on experience in Cloud Data Engineering, including designing and implementing scalable data platforms on cloud environments, with expertise in leveraging and optimizing LLM-based use cases.
•Strong understanding of Insurance domain data models, business processes, and data governance requirements.
•Experience with MLflow for machine learning lifecycle management, including experiment tracking, model registry, and deployment.
•Proficiency in unit testing, version control (Git), CI/CD pipelines, and production deployment of cloud-based data and AI solutions, ensuring reliability, scalability, and maintainability.
Conditions
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home, noting that you will be unable to work at home 100% of the time. You'd be joining an accredited Great Place to work for Wellbeing in 2024. To help support wellbeing, Capgemini has trained 'Mental Health Champions' across each of its business areas, and has invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress, benefiting from Capgemini's 'learning for life' mindset, with countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
