
1. Conducts research to advance the field of artificial intelligence, develops new algorithms, and publishes findings. 2. Designs builds, and deploys machine learning systems, optimises performance, and integrates models into production environments. 3. Analyses complex data sets, develops predictive models using machine learning techniques, and communicates insights to stakeholders. 4. Develop algorithms and models to understand and generate human language, and apply NLP techniques to real-world problems. 5. Designs and implements computer vision algorithms and systems for tasks like image classification, object detection, and video analysis. 6. Investigate the ethical implications of AI technologies, develop frameworks for responsible AI deployment, and advocate for ethical guidelines. 7. Defines AI product strategy, collaborates with cross-functional teams to develop AI-powered products, and ensures alignment with business goals. 8. Designs scalable and efficient AI systems, selects appropriate hardware and software components, and oversees system integration and deployment. 9. Identifies vulnerabilities in AI systems, develops security measures to protect against attacks, and ensures compliance with security regulations. 10. Advises organisations on AI strategy, identifies opportunities for AI adoption, and provides expertise in implementing AI solutions.
1. Curate, annotate, and refine datasets to train the bot on various intents, entities, and dialogues. 2. Work with natural language processing (NLP) models, refine algorithms, and adjust training parameters to enhance the bot’s performance. 3. Craft conversation flows, responses, and scenarios that are natural, engaging, and aligned with user expectations. 4. Continuously monitor the bot's performance, identify areas for improvement, and implement updates to improve accuracy and user experience. 5. Analyse user interactions and feedback to fine-tune the bot's responses and functionality. 6. Work closely with developers, UX designers, and other stakeholders to integrate the bot into various platforms and ensure it meets business objectives.
Generate and evaluate innovative vehicle concepts and layouts. Conduct feasibility studies and initial engineering simulations. Define technical targets and design envelopes for new models. Support early-stage prototyping and concept reviews. Coordinate with styling, architecture, and system engineering teams. Liaise with product planning, R&D leadership, and advanced engineering.









