Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.
Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.
Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.
Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.
Perform advanced SQL analytics to extract actionable insights from structured datasets.
Stay up-to-date with the latest advancements in NLP and machine learning techniques.
Mentor junior data scientists and foster a culture of technical excellence within the team.
Communicate complex technical concepts to non-technical stakeholders and customers.
Partner with customers to understand their needs and translate them into technical solutions.

Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.
Proven track record of launching NLP-driven products to live users.
Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.
Experience with Transformer-based models (e.g., BERT, GPT).
Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.
Familiarity with data engineering pipelines and best practices.
Proficiency in SQL for analytics and data manipulation.
Excellent problem-solving skills and ability to work with large-scale datasets.
Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Staff Data Scientist – AI/ML, Graph Neural Networks, NLP

Key skills