Data Scientist – GenAI & ML
G-STAT · District centre
وصف الوظيفة
About the role
We are looking for a Data Scientist who can transform generative AI models into concrete business solutions. You will work in a hybrid environment, collaborating closely with engineering and business teams to deliver measurable impact.
Key responsibilities
- Design and implement end‑to‑end ML and AI pipelines, from data exploration and feature engineering to model training and evaluation.
- Fine‑tune large language models, create embeddings, manage vector stores and implement Retrieval‑Augmented Generation (RAG) workflows.
- Deploy models to production together with ML engineers, DevOps and software developers.
- Monitor model performance, detect drift, and retrain models as needed.
- Partner with business stakeholders to translate data insights into actionable solutions.
- Lead initiatives to improve ML/AI methodologies and team workflows.
Required profile
- B.Sc. or equivalent in Engineering, Computer Science, Mathematics, Statistics, Data Science or a related field.
- At least 2 years of professional experience as a Data Scientist.
- Strong proficiency in Python and major machine‑learning libraries.
- Strong SQL skills for data extraction and manipulation.
- Experience with generative AI and large language model technologies is a significant advantage.
Required skills
- Python
- SQL
- Machine‑learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch)
- GenAI technologies
- LLM fine‑tuning
- Embeddings
- Vector stores
- Retrieval‑Augmented Generation (RAG)
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G-STAT
District centre
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