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Tier-1 brand and metro locations increase applicant density despite senior specialized role.
Deep GenAI/ML and LLM expertise required makes cross-industry transfer limited without domain experience.
Mandatory 10-15 years plus specific GenAI, LLM, and deployment expertise enforces stringent filters.
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Lead technical delivery of large-scale AI and Generative AI software solutions ensuring architectural soundness and timely project completion.
Manage and mentor cross-functional teams of 10+ members including Data Engineers, ML/AI Engineers, and Prompt Engineers across multiple projects.
Collaborate with clients and project leadership to define requirements, estimate efforts, mitigate risks, and support proposals to align solutions with client needs.
10-15 years of experience in Generative AI, Deep Learning, or NLP with leadership of teams of 10+ on multiple end-to-end AI and Generative AI projects.
Hands-on proficiency with Python, CUDA, SQL, and frameworks like TensorFlow, PyTorch, Keras.
Experience working with top Large Language Models (LLMs) (e.g. OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock) and related technologies such as RAG, Agentic workflows, GANs, Transformers, and Diffusion models.
Bachelor's or Master's degree in BE/B.Tech/MCA/M.Sc (CS) or equivalent from an accredited university; Location: Bengaluru, Hyderabad, Pune, or Chennai.
Senior expert with deep technical and leadership experience across diverse AI/GenAI projects and industries, capable of owning end-to-end delivery of complex enterprise solutions.
Strong collaborator comfortable working with cross-functional, global teams and engaging with clients and stakeholders effectively.
Technically progressive and research-focused, keeping up with latest AI developments and capable of integrating new AI architectures and hyperscaler/cloud offerings into projects.