NLP Natural Language Processing Lead

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:

1. Lead and manage a team of NLP engineers and data scientists, providing technical guidance and mentorship to ensure high-quality work output.
2. Develop and implement NLP strategies and roadmaps in alignment with organizational goals and objectives.
3. Collaborate with stakeholders, including product managers, researchers, and software engineers, to identify and prioritize NLP use cases and requirements.
4. 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.
5. Stay up-to-date with the latest advancements in NLP research and technologies, and evaluate their potential impact on the organization's NLP initiatives.
6. Define and maintain NLP best practices, standards, and quality metrics to ensure consistent and reliable results.
7. Lead NLP model training, optimization, and evaluation efforts, leveraging large-scale datasets and machine learning techniques.
8. Collaborate with data engineering teams to ensure efficient data pipelines and scalable infrastructure for NLP processing.
9. Conduct regular code reviews and implement quality assurance processes to ensure robust and maintainable NLP solutions.
10. Provide technical expertise and guidance in solving complex NLP problems, troubleshooting issues, and optimizing performance.
11. Stay informed about privacy and ethical considerations related to NLP, ensuring compliance with relevant regulations and guidelines
12. Continuously analyze/identify more and more utterances based on the Intent so that Chatbot can understand the customer's request easily.
13. Hands-on experience with NLP platforms such as AWS Lex, Amazon Connect, Watson Conversation, Nice, Azure Conversation, or similar platforms.

Qualifications:

1. Bachelor's or advanced degree in computer science, artificial intelligence, or a related field.
2. Strong experience in leading and managing teams in the field of NLP, with a proven track record of delivering successful NLP projects.
3. Deep understanding of NLP concepts and techniques, including language modeling, text representation, information extraction, and sentiment analysis.
4. 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).
5. Experience in developing and deploying NLP models in a production environment, considering scalability, performance, and latency requirements.
6. Knowledge of machine learning algorithms and statistical techniques commonly used in NLP, such as deep learning, word embeddings, and sequence labeling.
7. Strong analytical and problem-solving skills, with the ability to break down complex NLP problems and propose effective solutions.
8. Excellent communication skills, with the ability to explain technical concepts and solutions to both technical and non-technical stakeholders.
9. Ability to thrive in a fast-paced, collaborative environment, and effectively manage multiple priorities and projects.