NLP Engineer

**Role Overview** We are looking for an **NLP Engineer** to lead the design, development, and deployment of production\-grade NLP and Generative AI solutions. You will own complex AI initiatives end\-to\-end, drive technical architecture, and help shape our NLP/LLM engineering practices.**Key Responsibilities** * Lead the design and development of scalable NLP and LLM\-powered solutions. * Architect and optimize RAG pipelines, embeddings, vector search, and LLM applications. * Fine\-tune, evaluate, and optimize transformer\-based models and LLMs for production use. * Build robust data, training, inference, and model\-evaluation pipelines. * Drive improvements in model quality, latency, scalability, reliability, and cost. * Establish best practices for experimentation, evaluation, deployment, and monitoring of AI systems. * Translate complex business requirements into effective AI/ML solutions. * Collaborate closely with ML engineers, software engineers, product teams, and stakeholders. * Mentor engineers and provide technical leadership across NLP/Generative AI initiatives. * Stay current with emerging research, models, frameworks, and best practices in NLP and Generative AI. **Requirements** * 5\+ years of professional experience in NLP, Machine Learning, or Generative AI. * Strong Python programming and hands\-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent frameworks. * Deep understanding of NLP, transformers, LLMs, embeddings, RAG, fine\-tuning, and model evaluation. * Proven experience taking AI/ML solutions from experimentation to production. * Strong software engineering and system\-design skills, including APIs, data pipelines, and scalable architectures. * Strong analytical and problem\-solving skills with the ability to independently drive technical initiatives. **Preferred** * Experience with PEFT/LoRA, quantization, inference optimization, or distributed model training. * Experience with vector databases, MLOps, cloud platforms, and AI evaluation/observability frameworks. * Experience building AI agents, multimodal systems, or other advanced Generative AI applications. * Contributions to open\-source projects, research, publications, or applied AI/ML innovation. mwQkjRP2HW