November 27
• Developing and implementing innovative GenAI use-cases for automotive engineering projects. • Collaborating with different stakeholders, ML/AI engineers, and domain experts. • Analyzing and interpreting results from GenAI models to improve performance and user experience. • Staying up-to-date with advancements in GenAI and prompt engineering techniques.
• Demonstrated experience working with large language models (LLMs) & prompt engineering. • 2+ years of experience in AI/ML projects, with a focus on natural language processing (NLP) and generative AI. • Strong knowledge of GenAI fundamentals, techniques, and best practices. • Expertise in NLP techniques and libraries such as NLTK, language frameworks like LangChain and LlamaIndex and agent frameworks such as LangGraph, AutoGen and CrewAI. • Experience in developing and implementing GenAI use cases in a business context. • Familiarity with text analysis, data chunking, embedding and information retrieval systems. • Knowledge of or experience with AWS framework. • Strong problem-solving skills and ability to think creatively about AI-based efficient and accurate solutions. • Excellent communication skills, with the ability to understand requirements, propose solutions and explain complex AI concepts to non-technical stakeholders.
• Highly flexible hybrid work model. • Subsidized canteen. • Free language courses. • Transport and coaching services.
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