Data Scientist, vu.city

• Hands-on experience working with LLM such as GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments
• Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools
• A solid understanding of tokenisation, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines
• Experience designing and evaluating LLM-powered systems such as chatbots, summarisation tools, content generation workflows, or intelligent data extraction pipelines
• Deep understanding of NLP fundamentals: text preprocessing, language modelling, and semantic similarity
• Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar
• Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow)
• Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem (SageMaker, Lambda, etc.)
• Strong understanding of data structures, algorithms, and statistical analysis
• Experience working with ETL pipelines and structured/unstructured data
• Solid grasp of software engineering principles, version control systems (Git), and Agile methodologies
• Ability to break down complex data challenges into clear, manageable tasks
• Clear communicator and problem solver with a positive, proactive attitude
• Highly self-motivated with a passion for learning and growing in the AI/ML domain
• Comfortable working both collaboratively and independently in a dynamic, fast-paced environment
• Must be available to attend quarterly company meetings in person
• Be human and ready to have fun

Desirable

• We're looking for an exceptional Senior Data Scientist with AI expertise to join our Analysis team and help shape the intelligent backbone of our 3D design and GIS product ecosystem
• You’ll play a key role in developing machine learning models, predictive systems, and AI-driven analytics that power and enhance our data pipeline infrastructure and product intelligence
• This is a hands-on role focused on applying AI techniques to both geospatial and non-geospatial data, 3D workflows, and internal datasets to drive automation, insights, and new product capabilities
• We present an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques
• Work within the Analysis Team to develop and deploy ML (including LLM) models that enhance our 3D design/GIS platforms and internal tooling
• Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions
• Collaborate with external AI specialists to deliver larger-scale projects
• Explore, clean, and transform large datasets for training, validation, and inference, including geospatial and 3D data types
• Design, test, and deploy predictive models and recommendation systems into production environments. Identify and develop opportunities for AI-powered automation and decision-making tools
• Contribute to the architecture of intelligent data pipelines that support both internal operations and customer-facing features
• Continuously evaluate model performance and apply strategies for tuning, retraining, or improvement
• Participate in product and project planning to help prioritise AI-driven initiatives
• Mentor team members by sharing ML best practices and helping to build a culture of technical excellence
• Stay current with emerging ML techniques and technologies, and evaluate their potential for our use cases
• Support team delivery and maintain clear communication on changing goals, plans, or requirements