AI/ML Lead

Seeking a highly skilled NLP Engineer with expertise in NLP techniques and a sharp ability to understand patterns in data, translating this insight into valuable business intelligence. Data Preprocessing: - Implement advanced data preprocessing techniques for NLP tasks, including but not limited to lemmatization, n-grams generation, stemming, and translation. Model Development: - Design and develop linear models, ensemble models, and neural networks for various NLP applications. Algorithm Optimization: - Stay current with the latest advancements in NLP and apply state-of-the-art techniques to enhance model accuracy. Machine Learning Models: - Apply machine learning principles to build and deploy scalable models for real-world applications. Knowledge of ChatGPT: - Demonstrate a good understanding of models like ChatGPT and related architectures. - Collaborate with researchers and engineers to integrate and enhance ChatGPT-like models in specific applications. - Utilize advanced vectorization techniques to represent textual data in a format suitable for machine learning models.

Roles & Responsibilities

• Clean, sanitize, and format raw textual data to enhance the performance of downstream NLP models.
• Design and develop linear models, ensemble models, and neural networks for various NLP applications.
• Fine-tune and optimize preprocessing algorithms to improve efficiency and performance.
• Apply machine learning principles to build and deploy scalable models for real-world applications.
• Engage in prompt engineering to optimize model behavior and response in NLP applications.
• Experience with ML deployment is required.
• Experience in managing the team