Role: Data Scientist
Experience: 46 Years
Location: Any Xebia Office
Job Summary
We are looking for a skilled Data Scientist with hands-on Generative AI experience to design, build, and deploy AI/ML solutions using both traditional machine learning and modern GenAI techniques. The ideal candidate should have strong expertise in data analysis, model development, and working with large language models (LLMs) to solve real-world business problems.
Key Responsibilities
- Design, develop, and deploy machine learning and deep learning models for structured and unstructured data.
- Build Generative AI solutions using LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.).
- Implement prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning, and embeddings-based solutions.
- Perform data preprocessing, feature engineering, model training, validation, and optimization.
- Work with NLP use cases such as text summarization, classification, question answering, and chatbots.
- Collaborate with business stakeholders to translate requirements into AI solutions.
- Deploy models using MLOps practices (CI/CD, monitoring, versioning).
- Ensure model performance, scalability, security, and compliance.
- Document solutions and present insights to technical and non-technical teams.
Required Skills & Qualifications
Core Skills
- 46 years of experience in Data Science / Machine Learning
- Strong programming skills in Python
- Experience with ML/DL libraries: TensorFlow, PyTorch, Scikit-learn
- Strong understanding of statistics, probability, and linear algebra
Generative AI & NLP
- Hands-on experience with LLMs (GPT-4/3.5, LLaMA, Claude, Mistral, etc.)
- Experience with Prompt Engineering, RAG pipelines, and vector databases (FAISS, Pinecone, Chroma, Weaviate)
- NLP frameworks: Hugging Face, LangChain, LlamaIndex
- Experience in fine-tuning LLMs and using embeddings
