Data & AI SME

Design & Develop AI Models: Develop and implement advanced AI models using Python, TensorFlow, PyTorch, and other relevant frameworks to solve complex business challenges.

NLP Implementation: Apply Natural Language Processing (NLP) techniques for tasks such as language modeling, text classification, and sentiment analysis to enhance data-driven decision-making.

Data Science Expertise: Lead data cleaning, preprocessing, and feature engineering efforts to ensure high-quality input for AI models.

Problem-Solving & Analysis: Analyze complex problems, identify solutions, and implement them efficiently, ensuring project goals are met.

Cloud Integration: Leverage cloud platforms (such as AWS, Azure, or Google Cloud) for scalable deployment of AI solutions, optimizing performance and cost.

Cross-functional Collaboration: Work closely with diverse teams, including product, engineering, and business teams, to understand project requirements and deliver AI solutions.

Documentation & Communication: Prepare and deliver clear technical documentation and reports, explaining complex AI concepts to non-technical stakeholders when necessary.