This role is for an experienced Data Scientist focusing on technical architecture, research, and innovation. The ideal candidate will lead the design and implementation of scalable data pipelines, machine learning models, and NLP systems. This position also involves mentoring team members and staying at the forefront of advancements in deep learning, NLP, and Generative AI.

A strong understanding of model development, NLP solutions, and leveraging GenAI for complex language problems is essential. Proficiency in Python and API development for integrating models into existing systems is also a key requirement. Experience with Streamlit for building interactive applications is expected.

Design and implement scalable data pipelines, machine learning models, and NLP systems. Mentor team members on code quality, best practices, and technical challenges. Research and identify opportunities for innovation in deep learning, NLP, and GenAI. Build and optimize deep learning models using TensorFlow or Theano. Develop and implement NLP solutions for various tasks, including text classification and language generation. Leverage GenAI tools to enhance models and create novel solutions. Develop RESTful APIs for model integration. Utilize Streamlit for interactive data applications and dashboards.

Master's or Ph.D. in Computer Science, Data Science, or a related field. 10-15 years of overall experience, with 7+ years in data science or machine learning, delivering production-ready solutions. Minimum 2 years of experience leading technical teams. Strong expertise in Python, deep learning frameworks (TensorFlow, Theano), NLP libraries (spaCy, NLTK, Hugging Face), and GenAI tools. Experience with API development (Flask, FastAPI) and Streamlit.