NLP Engineer

NLP Engineer

Lahore, Pakistan

Full Time

Experienced

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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.

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