Lead Engineer - AI/ML

1. Client Interaction: Discuss client requirements and develop proposals tailored to their needs. 2. Demonstrations and Workshops: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates in line with customer budgets and organizational financial guidelines. 3. Model Oversight: Oversee the development and deployment of AI models, especially those generating content such as text, images, or other media. 4. AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions. 5. Expertise Utilization: Utilize your expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative technologies. 6. Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers. 7. Strategic Development: Develop value-creating strategies and models to help clients innovate, drive growth, and increase profitability. 8. Technology Awareness: Stay informed about the latest technologies and industry trends. 9. Problem-Solving and Collaboration: Employ logical thinking and problem-solving skills, and collaborate effectively. 10. Client Interfacing: Demonstrate strong client interfacing skills. 11. Project and Team Management: Manage projects and teams efficiently.