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About the role
Job Description: Data & AI Engineer (6-8 Years) Role Overview: Seeking a Data & AI Engineer with 6-8 years of experience to build scalable data pipelines and AI/ML solutions, with a focus on NLP, LLMs, and Generative AI technologies. Key Responsibilities Design and maintain data pipelines for structured/unstructured data Develop and deploy ML/NLP models using Python and transformer-based architectures Build LLM and GenAI solutions, including RAG pipelines Implement knowledge graphs and semantic search capabilities Deploy models and manage MLOps workflows (CI/CD, monitoring) Collaborate with stakeholders to translate business needs into AI solutions Stay updated with emerging AI and GenAI trends Required Skills Python programming Experience in NLP, ML, Data Science Strong knowledge of LLMs, Transformers (BERT, GPT), GenAI Hands-on with RAG, embeddings, vector DBs (FAISS/Pinecone) Familiarity with knowledge graphs (Neo4j, RDF) Experience with TensorFlow/PyTorch, Hugging Face, LangChain Exposure to cloud (AWS/Azure/GCP) and MLOps (Docker, CI/CD)
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