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Tier-1 employer and metro location increase competition, but niche GenAI senior requirement reduces applicant density.
Requires specialized generative AI/ML and LLM experience, limiting transferability across non-AI roles.
Explicit 7+ years plus mandatory AI/ML, LLM and deployment skills create strict screening filters.
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Develop and implement AI/ML solutions using major frameworks like PyTorch, TensorFlow, and Keras with focus on Generative AI and LLM technologies.
Manage model deployment including containerization using Docker and apply version control with Git to support scalable AI development.
Collaborate in AI project delivery with attention to AI compliance, data privacy, and responsible AI principles in a cloud-based environment.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
7+ years of professional experience in AI/ML development with exposure to Generative AI.
Hands-on experience with Python programming and major machine learning frameworks such as PyTorch, TensorFlow, Keras.
Knowledge of AI model deployment, containerization (Docker), and version control (Git).
Experienced in applying LLMs, prompt engineering, and techniques like LoRA and QLoRA for fine-tuning models.
Familiarity with Retrieval-Augmented Generation (RAG) systems and hybrid search techniques to enhance AI solutions.
Proven ability to work collaboratively in cross-functional teams delivering cloud-based AI/ML projects, with an analytical approach to compliance and data privacy.