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About the role
Role: Lead Data Scientist Mandate Years of Experience:8+ Years (Individual Contributor) Location: Permanent Remote Opportunity Notice period: Immediate to 30 Days Open Position: 4 Data Science lead (NLP, Deep Learning, GenAI) Key Responsibilities - Develop endtoend NLP and GenAI solutions, including text classification, summarization, RAG systems, conversational AI, and document intelligence pipelines. - Build, finetune, and evaluate LLM-based models using transformer architectures (BERT, GPT, T5, LLaMA, etc.). - Design and implement custom NLP workflows, embeddings, semantic search, vector databases, and prompt engineering strategies. - Develop scalable advanced ML models leveraging deep learning, traditional ML, and hybrid architectures. - Deploy models and AI apps using modern MLOps practices across cloud environments (Azure preferred). - Collaborate closely with product, engineering, and business teams to translate requirements into AI-driven solutions. - Monitor model performance, conduct error analysis, and continuously optimize pipelines. Required Skills - 10+ years of experience in data science with deep handson expertise in NLP and Generative AI. - Proficient in transformer models, embeddings, and modern NLP libraries (Hugging Face, spaCy, NLTK). - Solid Python skills with experience in PyTorch/TensorFlow for advanced model development. - Practical experience building RAG architectures, vector search, and prompt optimization. - Solid understanding of MLOps, model deployment, monitoring, and productionization. - Strong problemsolving abilities with excellent communication and stakeholder engagement skills. Interested candidates can share your resume to for a quick response .
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