Lead AI Engineer - NLP

Our client, a forward-thinking technology firm at the forefront of AI innovation, is seeking an accomplished Lead AI Engineer specializing in Natural Language Processing (NLP) to join their team in Virginia Beach, Virginia . This pivotal role involves leading the design, development, and deployment of sophisticated NLP solutions that drive business value and enhance user experiences. The ideal candidate will possess deep expertise in machine learning, deep learning, and modern NLP techniques, coupled with a strong track record of leading engineering teams and delivering complex AI projects. You will be responsible for mentoring junior engineers, setting technical direction, architecting scalable AI systems, and collaborating with product managers and data scientists to translate business

into cutting-edge AI features. This role demands a strategic thinker with exceptional problem-solving skills and a passion for building impactful AI products. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, along with 7+ years of experience in AI/ML engineering, with at least 2 years in a leadership capacity, is required. Expertise in Python, TensorFlow/PyTorch, and various NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) is essential. Experience with cloud platforms (AWS, Azure, GCP) is highly beneficial.

: Lead the design, development, and implementation of advanced NLP models and applications. Architect scalable and robust AI/ML systems for production environments. Mentor and guide a team of AI engineers, fostering technical growth and collaboration. Collaborate with product management and data science teams to define AI strategy and roadmap. Research and apply state-of-the-art NLP techniques to solve business challenges. Develop and optimize machine learning pipelines for data preprocessing, training, and inference. Evaluate model performance, conduct A/B testing, and iterate on solutions. Deploy AI models into production, ensuring reliability and maintainability. Stay abreast of the latest research and advancements in NLP and AI. Contribute to technical documentation, knowledge sharing, and best practices. Ensure the ethical and responsible development of AI systems.