B.Sc Computer Science, B.Com Informatics, Engineering Degrees (preferred) Candidates should have development experience in generative models such as M365 Co-Pilot, Bing Chat, GitHub Co-Pilot, GPT, and Transformer models. Candidates should identify the use case, define POC generative AI models, and test the models extensively to ensure they meet quality/performance. Proven experience in developing and deploying Gen AI solutions in a real-world setting. Programming skills in languages such as Python, C++ or Java will be advantageous. Understanding of machine learning, deep learning, and natural language processing techniques. Prompt Engineering skills would be an advantage. Furthermore, one should have a good understanding of the ethical, social, and legal implications of developing and deploying Gen AI systems. Excellent problem-solving skills and the ability to work on complex, unstructured problems. Strong communication and presentation skills, with the ability to convey complex AI concepts to non-technical stakeholders. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a plus. Experience in leading and mentoring junior team members is a plus. Technical / Professional Knowledge Technical skills Product management Project Management Strategy planning and execution Governance, Risk and Controls Relevant regulatory knowledge Responsibilities: Gen AI Strategy: Collaborate with the leadership team to define and execute the company's AI strategy, identifying opportunities to leverage Gen AI to drive business growth and innovation. Agile Leadership: Lead Gen AI squads from conception to implementation, ensuring that they are delivered on time and meet the highest quality standards. Algorithm Development: Develop and optimize machine learning and deep learning algorithms to solve complex business problems. Model Training and Evaluation: Build, train, and evaluate Gen AI models using large datasets, continuously improving model performance and accuracy. Mentorship: Provide guidance and mentorship to junior Gen AI team members, fostering their professional growth and development. Research and Innovation: Stay current with the latest Gen AI research and technologies, identifying opportunities to incorporate new advancements into our Gen AI solutions. Cross-functional Collaboration: Work closely with product managers, engineers, and other stakeholders to integrate AI capabilities into our products and services. Ethical AI: Ensure that Gen AI models and solutions adhere to ethical guidelines and data privacy regulations. #J-18808-Ljbffr