Date scientist_ Contract

• 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) • Bonus skillsets which will allow you to excel in this role include: • Proficient in modern programming languages(e.g.typescript, C#) • Experience in cloud platform and services preferably in AWS • Experience in Docker/Kubernetes • Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask,Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript) • Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers) • Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS) • Understanding of AI agent frameworksandmulti-agent systems • Strong presentation skills and abilitytoexplain technical concepts clearly to a non-technical audience • Proficient in statistical software tools (e.g.R, SAS)