Roles & Responsibilities:
-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
-Optimizing existing generative AI models for improved performance, scalability, and efficiency.
-Ensure data quality and accuracy
-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.
-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.
-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers
-Experience working with cloud based platforms (example: AWS, Azure or related)
-Strong problem-solving and analytical skills
-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI
-Prior statistical modelling experience
-Demonstrable experience with deep learning algorithms and neural networks
-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
-Contributing to the establishment of best practices and standards for generative AI development within the organization.