Senior/Lead Data Scientist
Posted May 6, 2026
As a Senior Data Scientist specializing in Generative AI, your primary role will involve designing and implementing cutting-edge GenAI models and pipelines to address business challenges and improve efficiency. You will work collaboratively with various teams to leverage large language models and generative techniques for innovative solutions. Key Responsibilities:
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Develop and optimize Generative AI models utilizing large language models such as GPT, LLaMA, Claude, and PaLM for tasks including summarization, content generation, question answering, and semantic search. - Create end-to-end GenAI-powered solutions encompassing prompt engineering, model training, evaluation, and deployment. - Utilize frameworks like LangChain, LlamaIndex, and vector databases (e.g., FAISS, Pinecone, Weaviate) to construct RAG (Retrieval-Augmented Generation) pipelines. - Collaborate with product, engineering, and business teams to identify AI opportunities and prototype solutions. - Conduct experiments, assess model performance, and optimize for accuracy, latency, and relevance. - Contribute to establishing GenAI best practices and developing reusable assets within the organization. - Stay updated on the latest research and advancements in the Generative AI and large language model domain. Required Skills and Experience:
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5+ years of experience in Data Science or AI roles, with a minimum of 2 years focusing on Generative AI or large language models. - Proficient in Python programming and hands-on experience with transformers, Hugging Face, PyTorch, or TensorFlow. - In-depth knowledge of NLP, language modeling, and generative techniques. - Familiarity with prompt engineering, fine-tuning, or few-shot learning. - Practical experience with LangChain, LlamaIndex, or similar Generative AI orchestration frameworks. - Working understanding of vector stores, embedding models, and retrieval techniques. - Experience in deploying models in cloud or hybrid environments like Azure, AWS, GCP. - Knowledge of MLOps tools and best practices is advantageous. Preferred Qualifications: