Capgemini is looking to hire a Full Stack AI/ML Engineer to develop, deploy, and manage machine learning (ML) and Generative AI (GenAI) solutions, including AWS Bedrock agents and models, to enhance a range of applications.
Requirements
- AWS
- containerization with Docker and Kubernetes
- MLOps practices with CI/CD automation.
- large language models (LLMs) and embedding models
- Streamlit (React optional)
- Apache Kafka
- graph databases
Responsibilities
- Full Stack Data Scientist to develop, deploy, and manage machine learning (ML) and Generative Al (GenAl) and bedrock agents and models across a range of applications, with a focus on integrating AWS solutions.
- designing and optimizing predictive models
- creating GenAl-driven applications leveraging large language models (LLMs) and embedding models
- crafting effective prompts and RAG technologies to enhance solution capabilities.
- build user-facing applications with frameworks such as Streamlit (React optional)
- integrate robust APls
- design end-to-end ML and data pipelines, with Apache Kafka for real-time data streaming and pipeline efficiency.
Other
- 3 days onsite every week
- Strong mathematical and statistical skills
- experience with data visualization
- a collaborative approach to working with cross-functional teams are crucial.
- Familiarity with modern ML and GenAl trends
