Guidde is a dynamic startup at the forefront of the #KnowledgeOnDemand revolution. Founded by seasoned entrepreneurs, our platform bridges crucial gaps in delivering accessible, on-demand knowledge to users worldwide. At Guidde, we utilize advanced AI technologies, including NLP and Computer Vision, to pioneer generative video solutions. Our platform enables any organization to create high-quality how-to videos in minutes, making knowledge creation and sharing a no-brainer task. Imagine being able to effortlessly search through videos on platforms like YouTube or Zoom meetings using keywords related to spoken words or demonstrated applications—all in real-time and within context. As we rapidly scale our operations, we're looking for visionary individuals eager to transform how knowledge is consumed and shared. Join us on this exhilarating journey to redefine the future of information accessibility

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What will you be responsible for?

• Lead research initiatives focused on developing innovative product experiences through advanced data science methodologies and state-of-the-art AI technologies
• Design, develop, and deploy LLM-based solutions, including prompt engineering, fine-tuning, and evaluation
• Manage end-to-end solution delivery, from analyzing product requirements and breaking them down into actionable technical problems to implementing production-ready solutions
• Work closely with product, customer success, backend, and full-stack engineering teams to successfully integrate robust and scalable AI solutions into our application
• Lead the development and implementation of comprehensive evaluation frameworks, establishing key metrics to measure model performance, accuracy, bias, and real-time responsiveness for continuous improvement

What would make you a good fit for this role ?

• 3+ years delivering Data Science solutions in commercial or enterprise environments
• Proven experience working with LLMs (GPT, Claude, etc.) and related tools (LangChain, LlamaIndex, etc.)
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
• Experience with modern data science methodologies and tools (Jupyter, pandas, scikit-learn)
• Excellent communication skills and ability to explain complex concepts to non-technical stakeholders

Nice to haves :

• Knowledge of vector databases and embedding models
• Background in computer vision
• Background in NLP and transformer architectures
• Previous experience in a startup that successfully scaled AI products
• Previous experience building a recommendation engine