• Build AI-powered data products using machine learning models, large language models, and modern AI tools.
• Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets.
• Develop end-to-end model pipelines covering data preparation, feature engineering, training, validation, deployment, and monitoring.
• Work with product, engineering, and business teams to translate business problems into scalable AI solutions.
• Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate.
• Build data pipelines and model workflows for structured and unstructured data.
• Define model performance metrics, run experiments, conduct error analysis, and continuously improve model quality.
• Support production deployment of AI models, ensuring reliability, scalability, governance, and responsible AI usage.