About the Role Our client, a fast-growing tech company revolutionizing customer engagement through advanced AI solutions, is seeking a talented Senior NLP Engineer to join their innovative team in Columbus, Ohio . This role focuses on the development and enhancement of natural language processing capabilities for conversational AI platforms, including chatbots, virtual assistants, and voice interfaces. You will be instrumental in building sophisticated language understanding and generation systems that provide seamless and intelligent user experiences. The ideal candidate has a passion for NLP, a strong background in machine learning, and experience working with large language models. This is a fantastic opportunity to make a significant impact in the burgeoning field of conversational AI, contributing to products used by millions. Join our client's collaborative team in Columbus and help shape the future of human-computer interaction. Key Responsibilities Design, develop, and deploy advanced NLP models for tasks such as intent recognition, entity extraction, sentiment analysis, and dialogue management. Build and fine-tune large language models (LLMs) for specific conversational AI applications. Develop and improve text generation and summarization capabilities. Implement and optimize machine learning pipelines for NLP tasks. Collaborate with product managers, designers, and other engineers to define and deliver new features. Conduct research on state-of-the-art NLP techniques and evaluate their potential application. Analyze and interpret model performance, identifying areas for improvement and implementing solutions. Develop evaluation metrics and frameworks for NLP models and conversational systems. Contribute to the team's technical knowledge base and mentor junior engineers. Requirements Master's or Ph.D. degree in Computer Science, Computational Linguistics, or a related field with a specialization in NLP or Machine Learning. 4+ years of professional experience in Natural Language Processing and Machine Learning. Strong experience with NLP libraries and frameworks like Hugging Face Transformers, spaCy, NLTK, and Gensim. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience in building and fine-tuning large language models (e.g., BERT, GPT, T5). Solid understanding of conversational AI principles, dialogue systems, and chatbot development. Experience with data preprocessing, feature engineering, and model evaluation for NLP tasks. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for ML model deployment. Excellent problem-solving, analytical, and debugging skills. Strong communication and teamwork abilities. Benefits Competitive salary and annual bonus potential. Comprehensive health, dental, and vision insurance. 401(k) savings plan with company match. Generous paid time off and holidays. Professional development budget for courses, conferences, and certifications. Access to cutting-edge AI tools and infrastructure. Collaborative and inclusive work environment. On-site amenities and flexible work options.