AI Senior Lead

Role Overview: As a Generative AI Expertise, you will be expected to have in-depth knowledge of various Generative AI techniques such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. It is essential to have experience in both image and text generation. You should be conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Additionally, exposure to both API-based and open-source LLMs-based solution design is required. Key Responsibilities: - Lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design, development, and deployment. - Review proposals prepared by consultants, provide guidance, and analyze solutions defined for client business problems to identify potential risks and issues. - Identify change management requirements and propose a structured approach to the client for managing the change using multiple communication mechanisms. - Coach and create a vision for the team, provide subject matter training, motivate and inspire team members through effective feedback and recognition for high performance. - Contribute to unit-level and organizational initiatives to provide high-quality consulting solutions to customers while adhering to organization guidelines and processes. Qualification Required: - Profound understanding of machine learning principles, algorithms, and frameworks. - Proficiency in programming languages commonly used in AI development such as Python, TensorFlow, PyTorch, or similar tools. - Experience with cloud platforms like AWS, Azure, GCP, and distributed computing is advantageous. - Ability to design end-to-end Generative AI architectures encompassing data preprocessing, model selection, training pipelines, and deployment strategies. - Strong grasp of scalable, reliable, and efficient system design. Additional Details: The company values Responsible AI and Data Privacy principles, ensuring ethical data handling, transparency, and accountability in all stages of AI development. Demonstrating a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives is essential. If you believe you possess the required skills and expertise to help clients navigate their digital transformation journey, this opportunity is ideal for you.,