Cloud data & AI engineer in insurance

Capgemini; Greater London; Híbrido; GBP 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellbeing program

Learning for life

Descripción de la vacante

Capgemini is seeking a highly skilled Cloud Data & AI Engineer to design, build, and deploy scalable data platforms and AI solutions on cloud environments, including Generative AI and LLM use cases.

The role requires close collaboration with business, data, and technology teams to deliver secure, reliable data products that drive business value, and to implement MLOps with MLflow for experiment tracking, model registry, versioning, and deployment.

Formación

• 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 CICD pipelines and production deployment of cloud based data and AI solutions ensuring reliability scalability and maintainability.

Responsabilidades

• 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.

Conocimientos

Cloud Data Engineering

MLOps

LLM usage

Data governance

Insurance domain knowledge

Herramientas

MLflow

Git

CI/CD

Descripción del empleo

Описание

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.

Задачи

• 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.

Требования

• 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 CICD pipelines and production deployment of cloud based data and AI solutions ensuring reliability scalability and maintainability.

Условия

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 we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have 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.