Financial
- Salary unspecified
- Zero income tax location
Accessibility
- Apply from abroad
Requirements
- Experience: Intermediate
- English: Professional
Position
- Role: Data Scientist
- Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake pre-processing of structured and unstructured data
- Analyse large amounts of information to discover trends and patterns
- Build predictive models through the application of machine-learning algorithms
- Combine models through ensemble modelling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
- Essential Skills and Experience:
- Design, develop, and implement LLM solutions
- Proficiency in using GenAI frameworks on Hyperscalers (e.g., Azure, AWS, and GCP) and on-premise
- Experience with fine-tuning open-source LLMs like Falcon, Mistral, and Zephyr
- Expertise in building and fine-tuning Retrieval-Augmented Generation (RAG) based chatbots and virtual assistants
- Familiarity with Langchain and LlamaIndex frameworks
- Prompt engineering and prompt optimization techniques
- Develop and evaluate metrics for LLM models
- Identify and mitigate potential risks associated with bias and fairness in LLMs
- Document findings and LLM applications clearly and concisely
- Understanding of LLM guardrails and implementation
- Understanding of Infrastructure setup on Nvidia & other GPU setups and requirements
- Stay up-to-date on the latest advancements in LLM research, including generative AI techniques
- Strong programming skills (Python preferred)
- Excellent communication and collaboration skills
- Ability to work independently and as part of a team
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms. The Group reported in 2022 global revenues of €22 billion.