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Tier-1 brand plus metro location increase applicant density despite senior, niche role.
Generative AI technical skills are transferable but senior consulting and client-facing experience raises specificity.
Explicit 10–15 years, specific LLM/framework/tools and leadership requirements make filters stringent.
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Lead and deliver large-scale AI and Generative AI projects, overseeing design, development, and deployment of models generating high-quality content (text, images, chatbots).
Manage and mentor a cross-functional team including Data Engineers, ML/AI Engineers, and Prompt engineers to execute projects from inception to implementation.
Collaborate with clients and internal teams to understand business problems, improve AI models, and support pre-sales and proposal activities.
10-15 years of relevant experience in Generative AI, Deep Learning, or NLP.
Bachelor’s or master’s degree in a quantitative field.
Hands-on experience with Python, Cuda, SQL, TensorFlow, PyTorch, Keras, and top LLM models (OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, Mistral).
Experience leading teams of 3–5 members on multiple end-to-end AI/Generative AI projects.
Proven capability in managing complex, multi-industry Generative AI projects and leading diverse AI/ML teams.
Strong operational and client-facing skills demonstrated through liaison with on-site and client teams and involvement in pre-sales.
Expertise staying current with latest Generative AI research and ability to innovate using advanced AI architectures (GANs, Transformers, Diffusion Models).