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At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Role Summary
We are seeking a Data & AI Engineer / AI Data Scientist with strong hands-on experience in Python, Databricks, and LLM-based solutions. The role combines data engineering, LLM/agentic workflow development, and LLM evaluation & quality assurance, supporting enterprise-scale AI initiatives.
The candidate should be capable of working across the data layer, AI/LLM workflows, and evaluation frameworks, with experience deploying solutions in cloud environments (preferably Azure).
Primary (Mandatory) Skills
Experience Requirements
Has more than two years of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Capgemini was founded by Serge Kampf in 1967 as an enterprise management and data processing company. The company was founded as the Société pour la Gestion de l'Entreprise et le Traitement de l'Information (Sogeti).In 1974 Sogeti acquired Gemini Computers Systems, a US company based in New York.In 1975, having made two major acquisitions of CAP (Centre d'Analyse et de Programmation) and Gemini Computer Systems, and following resolution of a dispute with the similarly named CAP UK over the international use of the name 'CAP', Sogeti renamed itself as CAP Gemini Sogeti.
Job ID: 147806909
Skills:
Java, Sqlalchemy, Machine Learning, Google Looker, Scala, Sql, Ms Azure, Nlp, Gcp, MLops, Flask, Databricks, FastAPI, Python, Big Query, GenAI, SQLModel, Agentic AI, R, Google Cloud Storage
Skills:
Cnn, SAS, Matlab, Python, Sql, GANs, LSTM, R, ViT, AlexNet, ResNet
Skills:
Hadoop, SAS, Pig, Sql, Hive, Spark, Spss, Matlab, Python, AWS, R, S-PLUS
Skills:
Machine Learning, Sql, Databricks, Python, Forecasting, Azure Data Lake ADL, AI GenAI frameworks, Data wrangling and feature engineering, Optimization Techniques, Statistical Modeling, Advanced analytical problem solving, Dashboarding and analytics visualization tools
Skills:
Numpy, Git, Pandas, Gcp, Docker, XGBoost, Azure, Python, AWS, LangChain, PEFT, LLaMA, LLMs, scikit-learn, Hugging Face Transformers, LightGBM, Pinecone, Claude, Mistral, FAISS, OpenAI, LlamaIndex
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