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Tier-1 brand, popular Data Scientist title, mid-level profile likely, metro location, and hybrid work increase candidate density.
Role demands specialized LLM research, modeling, and deployment skills with strong domain specificity.
No explicit years but requires advanced LLM/ML expertise and full-stack deployment skills, enforcing moderate hiring filters.
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Manage and deliver AI and Big Data projects on schedule, within budget, and meeting quality standards.
Develop, train, deploy, and monitor Large Language Models (LLMs) using deep learning frameworks like TensorFlow and PyTorch.
Build scalable data pipelines, front-end AI application interfaces, and back-end systems to enable AI model integration and experimentation infrastructure management.
Extensive experience in designing and delivering AI or Big Data solutions.
Hands-on expertise in machine learning model development on large-scale datasets including unstructured and structured data.
Proficiency with deep learning frameworks (TensorFlow, PyTorch) and programming languages such as Python, Java, or Node.js.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing end-to-end machine learning and LLM lifecycle including data preparation, model training, evaluation, and deployment within multi-disciplinary teams.
Capable of stakeholder communication and cross-functional collaboration involving product, technical, and customer support teams.
Comfortable working in global, hybrid work environments and contributing to initiatives beyond technical delivery.