Associate Director - Natural Language Processing

Key Responsibilities

- Lead and mentor a team of NLP engineers and data scientists to deliver world-class NLP solutions.

- Study and refine data science prototypes to convert them into scalable production models.

- Design and develop NLP applications aligned with product and business goals.

- Select and curate appropriate annotated datasets for supervised learning methods.

- Implement effective text representation techniques (e.g., embeddings, transformers, n-grams) to convert natural language into features for ML pipelines.

- Research, evaluate, and implement the best algorithms and tools for NLP tasks such as sentiment analysis, named entity recognition, and text classification.

- Train, evaluate, and optimize machine learning models; perform statistical analyses to refine performance.

- Integrate NLP models into production systems and deploy them at scale.

- Extend or build on machine learning libraries to meet custom NLP requirements.

- Stay up to date with emerging trends in machine learning, deep learning, and generative AI, and guide the team in adopting cutting-edge techniques.

Education & Qualifications

- Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.

- Proven track record of leading NLP projects and deploying solutions in production environments.

- Relevant certifications in AI/ML or cloud technologies (e.g., AWS ML Specialty, TensorFlow Developer) are a plus