Senior Data Scientist: ML & AI Engineering in the Cloud
Summary
Build and deploy AI/ML models in the cloud for Visa Hunt, focusing on deep learning, GenAI systems, and MLOps pipelines using Python, AWS, and frameworks like LangChain.
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 transformation experience, database technologies, etc).
- Strong team player.
- Superb communication and visualization abilities.
- Strong programming and development skills in Python (and accompanying frameworks), R, SQL, Shell scripting.