18 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and develop AI/ML and generative AI solutions from business and technical requirements.
- Analyze functional and non-functional requirements and recommend AI/ML algorithms, Azure AI services, and GenAI architectures.
- Build, deploy, and maintain Python-based AI/ML applications on Azure Cloud.
- Implement GenAI use cases using prompt engineering, RAG, LangChain, vector databases, and Azure OpenAI.
- Conduct proofs of concept, evaluate emerging AI technologies, and collaborate with stakeholders on solution delivery.
Requirements
- Experience with Python, Pandas, NumPy, Matplotlib, Scikit-learn, data preprocessing, and feature engineering.
- Knowledge of Azure OpenAI, prompt engineering, RAG, LangChain, vector databases, and text/image generation.
- Experience with Flask, FastAPI, Streamlit, API development, and deployment.
- Knowledge of Azure OpenAI Services, Storage Services, Key Vault, access control, data ingestion, and GenAI deployment.
- Knowledge of PostgreSQL, SQL/PL-SQL, database design, and AI solution architecture.
- Strong communication and stakeholder management skills.
Benefits
- Career paths, internal opportunities within the Capgemini group, and personalized career guidance.
- Wellness benefits including health checks, telemedicine, insurance top-ups, elder care, partner coverage, and new-parent support through flexible work.
- Opportunities to work on cutting-edge technology and engineering projects with industry leaders and on societal and environmental challenges.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.