NLP Engineer

2 weeks ago

Hyderabad, India TurboHire Full time

LLM Engineer: (1-3 years) About the Role We are looking for an LLM Engineer to design and deploy large language model solutions that power resume parsing, job description understanding, semantic search, and candidate-job matching. Youwill be responsible for developing scalable NLP/LLM workflows, optimizing models for production, and integrating cutting-edge GenAI advancements into TurboHire’s recruitment intelligence platform. Responsibilities  Design and implement LLM-powered NLP pipelines for parsing resumes, job descriptions, and other unstructured recruitment text.  Build scalable systems for information extraction, entity recognition, text classification, and semantic similarity.  Fine-tune and optimize large language models (e.g., GPT, LLaMA, Falcon, Mistral) for domain-specific applications.  Develop retrieval-augmented generation (RAG) pipelines with vector databases to enhance semantic search and candidate-job matching.  Collaborate with software and ML engineers to productionize LLM applications, ensuring high reliability, low latency, and cost efficiency.  Conduct in-depth text data analysis to uncover insights and improve model performance.  Continuously evaluate and integrate advances in transformer architectures, embeddings, and LLM toolchains.  Establish monitoring, evaluation, and safety frameworks to address drift, hallucination, and bias in LLM outputs .Requirements  Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.  3–5 years of experience in NLP, GenAI, or LLM engineering, with proven exposure to real-world parsing or information extraction.  Strong programming skills in Python and familiarity with NLP/LLM frameworks (HuggingFace Transformers, LangChain, LlamaIndex, spaCy).  Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).  Experience with vector databases (FAISS, Pinecone, Weaviate, Milvus) and embedding-based retrieval.  Prior experience deploying LLM-powered applications (chatbots, semantic search,resume/job parsing, or similar).  Understanding of GPU acceleration, distributed inference, and model optimization.  Familiarity with ranking and retrieval metrics (e.g., , NDCG) and evaluation ofLLM outputs  Knowledge of data privacy, fairness, and bias mitigation in AI systems.  Strong collaboration and communication skills to work with product and engineering teams.

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    Hyderabad, India TurboHire Full time

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    2 weeks ago

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