Perform in-depth data analysis to extract actionable insights, improve model performance, and inform AI strategy.
Develop, fine-tune, and deploy state-of-the-art LLMs and NLP models for real-world applications, ensuring robustness, efficiency, and scalability.
Implement, evaluate, and maintain LLM and NLP-based systems, following best practices in model optimization, monitoring, and lifecycle management.
Leverage advanced AI techniques, including prompt engineering and retrieval-augmented generation (RAG), to enhance model effectiveness.
Ensure compliance with Responsible AI principles, aligning with industry regulations such as the EU AI Act and Canadas Voluntary Code of Conduct on Responsible AI.
Collaborate with engineering and product teams to integrate AI-driven features into SaaS products, ensuring seamless deployment and user impact.
Work with data engineers to design and maintain efficient ETL pipelines for model training and inference.