As an NLP (Natural Language Processing) Lead, you will be responsible for leading and managing a team of NLP engineers and data scientists to develop and implement cutting-edge NLP solutions. Your role will involve designing and executing NLP strategies, driving research and development initiatives, and collaborating with cross-functional teams to enhance the organization's NLP capabilities. You will play a crucial role in shaping the NLP roadmap, ensuring the successful deployment of NLP models, and driving innovation in natural language processing.
Dallas, TX ( Onsite)
Responsibilities:
- Lead and manage a team of NLP engineers and data scientists, providing technical guidance and mentorship to ensure high-quality work output.
- Develop and implement NLP strategies and roadmaps in alignment with organizational goals and objectives.
- Collaborate with stakeholders, including product managers, researchers, and software engineers, to identify and prioritize NLP use cases and requirements.
- Drive the research, development, and implementation of state-of-the-art NLP models and algorithms, including text classification, sentiment analysis, named entity recognition, topic modeling, and machine translation.
- Stay up-to-date with the latest advancements in NLP research and technologies, and evaluate their potential impact on the organization's NLP initiatives.
- Define and maintain NLP best practices, standards, and quality metrics to ensure consistent and reliable results.
- Lead NLP model training, optimization, and evaluation efforts, leveraging large-scale datasets and machine learning techniques.
- Collaborate with data engineering teams to ensure efficient data pipelines and scalable infrastructure for NLP processing.
- Conduct regular code reviews and implement quality assurance processes to ensure robust and maintainable NLP solutions.
- Provide technical expertise and guidance in solving complex NLP problems, troubleshooting issues, and optimizing performance.
- Stay informed about privacy and ethical considerations related to NLP, ensuring compliance with relevant regulations and guidelines
- Continuously analyze/identify more and more utterances based on the Intent so that Chatbot can understand the customer's request easily.
- Hands-on experience with NLP platforms such as AWS Lex, Amazon Connect, Watson Conversation, Nice, Azure Conversation, or similar platforms.
Qualifications:
- Bachelor's or advanced degree in computer science, artificial intelligence, or a related field.
- Strong experience in leading and managing teams in the field of NLP, with a proven track record of delivering successful NLP projects.
- Deep understanding of NLP concepts and techniques, including language modeling, text representation, information extraction, and sentiment analysis.
- Proficiency in programming languages commonly used in NLP, such as Python, Java, or C++, and familiarity with relevant libraries and frameworks (e.g., NLTK, SpaCy, TensorFlow, PyTorch).
- Experience in developing and deploying NLP models in a production environment, considering scalability, performance, and latency requirements.
- Knowledge of machine learning algorithms and statistical techniques commonly used in NLP, such as deep learning, word embeddings, and sequence labeling.
- Strong analytical and problem-solving skills, with the ability to break down complex NLP problems and propose effective solutions.
- Excellent communication skills, with the ability to explain technical concepts and solutions to both technical and non-technical stakeholders.
- Ability to thrive in a fast-paced, collaborative environment, and effectively manage multiple priorities and projects.