Found Description
Qualifications
- 3+ years of active data science work with a reputable employer.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- High proficiency in problem-solving for data science (e.g., with suitable frameworks like MECE, root cause analysis, etc.).
- Familiarity in MLOps as a framework, with strong experience of end-to-end model development and deployment in the cloud (e.g., AWS).
- Seasoned in the theory and execution of deep learning algorithms and architectures(e.g., transformer models, reinforcement learning), AI Engineering (e.g., neural embeddings, LLM models, building of GenAI systems with frameworks like LangChain and LangGraph, vector databases, EDD, etc.), optimization, statistical modelling, and multi-criteria decision analysis.
- Experience with data engineering for data science (e.g., ELT concepts, structured table transformat...