Join Capgemini Engineering, a global leader in engineering services, and contribute to groundbreaking R&D and engineering solutions across diverse industries. We empower innovative companies to reach their full potential through digital and software technology expertise. This role offers a dynamic career path with abundant opportunities, where no two days are the same and your contributions truly matter.

Capgemini is a trusted partner for business and technology transformation, dedicated to accelerating organizations' journey towards a digital and sustainable future. We are a diverse team of 340,000 professionals across over 50 countries, committed to creating tangible impact for both enterprises and society. Our 55-year heritage, combined with leading capabilities in AI, generative AI, cloud, and data, allows us to deliver end-to-end services and unlock the full value of technology for our clients.

Design and develop advanced AI/ML and Generative AI solutions tailored to specific business and technical needs. Analyze functional and non-functional requirements to recommend optimal AI/ML algorithms, Azure AI services, and GenAI architectures. Build, deploy, and maintain robust Python-based AI/ML applications within the Azure Cloud environment. Implement cutting-edge GenAI use cases utilizing Prompt Engineering, RAG, LangChain, Vector Databases, and Azure OpenAI. Conduct Proof of Concepts (POCs), evaluate emerging AI technologies, and collaborate closely with stakeholders to ensure successful solution delivery.

Possess strong proficiency in Python, with expertise in libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. Demonstrate a solid understanding of data preprocessing and feature engineering techniques. Experience with Generative AI tools including Azure OpenAI, Prompt Engineering, RAG, LangChain, Vector DBs, and various generation capabilities for text and images. Skilled in application development using Flask, FastAPI, and Streamlit, including API development and deployment. Familiarity with Azure Cloud services such as Azure OpenAI, Storage, Key Vault, and Access Control, as well as data ingestion and GenAI deployment. Expertise in database technologies like PostgreSQL and SQL/PL-SQL, database design, and AI solution architecture. Excellent communication and stakeholder management skills are essential.