Natural Language Processing (NLP) Lead Specialist

Job Title: Natural Language Processing (NLP) Lead Specialist
Location: Bronx New York
Experience Required: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

We are looking for an experienced Natural Language Processing (NLP) Lead Specialist to guide advanced language technology development and implementation initiatives. This role requires deep expertise in building scalable NLP solutions overseeing end-to-end machine learning pipelines and leading teams through complex model design and deployment. The ideal candidate should have significant hands-on experience with modern NLP frameworks deep learning models and real-world data processing.

This position involves collaborating closely with stakeholders data scientists engineers and product teams to deliver cutting-edge language-based solutions that improve automation insights and user experience across the organization.

• Lead design development and deployment of NLP and machine learning solutions for enterprise applications and research initiatives.

• Architect and optimize NLP pipelines including text classification sentiment analysis named entity recognition summarization conversational systems and information extraction.

• Evaluate fine-tune and implement transformer-based models such as BERT GPT RoBERTa T5 or domain-specific models.

• Build scalable data processing systems using modern big data and cloud technologies.

• Oversee collection annotation and management of training datasets.

• Guide model evaluation experimentation performance tuning and error analysis.

• Collaborate with cross-functional teams to align technical outcomes with business needs.

• Provide mentorship to junior engineers and data scientists.

• Maintain awareness of emerging NLP research and tools and integrate new capabilities when beneficial.

• Ensure compliance with security ethical AI and data governance standards.

• Minimum 12 years of professional experience in advanced NLP machine learning or AI engineering.

• Strong hands-on experience with NLP frameworks such as Hugging Face Transformers spaCy NLTK Stanford CoreNLP or OpenAI APIs.

• Deep understanding of deep learning frameworks including TensorFlow or PyTorch.

• Proven expertise in transformer models language modeling embeddings text analytics and conversational AI systems.

• Strong background in Python programming and experience with ML libraries such as Scikit-learn NumPy Pandas and Numpy.

• Experience deploying NLP solutions in cloud environments such as AWS Azure or GCP.

• Knowledge of MLOps tools and model deployment strategies.

• Ability to define technical roadmaps and lead multidisciplinary teams.

• Strong analytical problem-solving and communication skills.

• Masters or PhD in Computer Science Artificial Intelligence Computational Linguistics or a related field preferred.