Senior Data Scientist - GenAI/NLP
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled and experienced Senior Data Scientist, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics. The candidate will have deep expertise in Generative AI, Large Language Models (LLMs), NLP, Retrieval-Augmented Generation (RAG), and Agentic AI. This role requires strong theoretical understanding of modern AI architectures combined with hands-on experience building production-ready GenAI solutions for enterprise clients. Responsibilities:
- Design and develop enterprise-grade Generative AI applications using state-of-the-art Large Language Models.
- Architect scalable Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval.
- Develop AI assistants, copilots, chatbots, document intelligence solutions, and autonomous AI agents.
- Build domain-specific NLP solutions for document processing, search, summarization, classification, information extraction, and question answering.
- Work extensively with open-source and commercial LLMs including GPT, Llama, Mistral, Qwen, Claude, Gemini, DeepSeek, and similar foundation models.
- Select appropriate model architectures based on enterprise use cases
Work on the latest applications of data science to solve business problems * Work directly with client stakeholders to translate business problems into high level analytics solution designs
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Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related field.
- 7+ years in Machine Learning, NLP, or Data Science.
- 3+ years building enterprise Generative AI applications.
- Strong experience delivering production-ready AI systems.
- Strong analytical, problem-solving, and facilitation skills
- Familiarity with task automation or AI/ML-driven solution design is a plus
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Benefits & conditions
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.