Design, build, and deploy scalable Generative AI and Predictive Analytics solutions that transform our Azure-based data lake into actionable insights and automated, intelligent experiences
Job Summary
Design, build, and deploy scalable Generative AI and Predictive Analytics solutions that transform our Azure-based data lake into actionable insights and automated, intelligent experiences.
You will work closely with data engineers, platform teams, and business stakeholders to operationalize AI at enterprise scale.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
Matching Summary
Design, build, and deploy scalable Generative AI and Predictive Analytics solutions that transform our Azure-based data lake into actionable insights and automated, intelligent experiences.
Skills & Requirements
Must-have
Generative AI and Predictive Analytics
Azure Machine Learning and Azure AI Foundry
Python for AI/ML development
Serverless orchestration using Azure Functions
Azure AI Search for low-latency retrieval
MLOps best practices implementation
Nice-to-have
Insurance or Financial Services domain experience
Designing and implementing RAG-based AI systems
Distributed data processing using Azure Databricks
Key Requirements
Hands-on experience with Azure AI & Cloud Stack
Strong understanding of Azure Data Lake Storage (ADLS) and Azure Synapse Analytics
Working knowledge of Scala and Apache Spark
Familiarity with Azure Cosmos DB or other NoSQL data stores
Knowledge of CI/CD tooling such as Azure DevOps or GitHub Actions