Data & AI Scientist

at  Capgemini

ESSENTIAL SKILLS AND EXPERIENCE

• Design, develop, and implement LLM solutions.
• Possess strong proficiency in using GenAI frameworks to build solution on Hyperscalers (e.g. Azure, AWS and GCP) and on-premise
• Experience with fine-tuning open-source LLMs like Falcon, Mistral, and Zephyr for specific tasks.
• 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 to measure the success of 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.
• Collaborate effectively with cross-functional teams
• Strong programming skills (Python preferred).
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.

WE ARE LOOKING FOR A DATA SCIENTIST TO ANALYSE LARGE AMOUNTS OF RAW INFORMATION TO FIND PATTERNS AND BUILD DATA PRODUCTS TO EXTRACT VALUABLE BUSINESS INSIGHTS. YOUR RESPONSIBILITIES INCLUDE:

• 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 amodels 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