Senior AI / NLP Engineer

About the job

As a Senior AI / NLP Engineer with production-scale experience, your role will involve designing, developing, deploying, and optimizing intelligent systems that process and analyze large volumes of text data. Specifically, you will be working on language models, translation systems, text classification, and information extraction solutions. Your practical experience in transitioning AI models from experimentation to reliable, scalable, and monitored production environments will be essential. Key Responsibilities: - Design, build, deploy, and maintain production-scale NLP and ML solutions - Develop AI systems for text classification, summarization, translation (NMT), semantic search, and information extraction - Architect and implement end-to-end ML pipelines from data preparation to deployment - Fine-tune and optimize transformer-based models and large language models - Build and operate Neural Machine Translation (NMT) solutions in production - Work with large datasets for training, evaluation, and continuous improvement - Collaborate with backend engineers to integrate AI models into applications - Optimize models for performance, scalability, reliability, and cost efficiency - Implement monitoring, logging, and evaluation pipelines for production AI systems Qualifications Required: - Minimum 3+ years of experience running AI/ML solutions in production environments - Proven experience delivering at least 2 production-grade solutions in NLP and NMT - Strong programming skills in Python - Experience deploying models via APIs or batch pipelines - Understanding of scaling, performance optimization, governance, and observability of ML systems If you are interested in this position of Senior AI / NLP Engineer, you should ideally possess a Bachelors degree in Computer Science, Engineering, or a related field.