Collaborate with business users to understand their priorities and use cases, propose and develop solutions using data science and Generative AI techniques to drive business value, and research emerging AI/data science techniques.
Requirements
- Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
- Able to understand and apply a range of AI/ML techniques for regression and classification
- Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
- Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
- Experience with context engineering techniques and prompt optimization strategies
- Proficient in git, SQL
- Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
- Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
- Proficient in statistical software tools (e.g. R, SAS)
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