Enhance financial planning and strategic decision-making for Walmart's US stores and eCommerce business through data-driven solutions and Generative AI.
Requirements
- Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
- Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
- Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.
- Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,
- Experience with Big Data processing and feature engineering using Spark
- Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
- Hands on experience of designing and training large DL models on GPU farm
Responsibilities
- Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems.
- Develop data science systems and tools for retail; e-commerce applications:
- Leverage LLMS to summarize and build large scale applications
- Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
- Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
- Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,
- Experience with Big Data processing and feature engineering using Spark
Other
- Establish cross-functional relationships to maintain win-win situation for the corporation
- Collaborate with various product stake holders and business owners to formulate and productionize a solution.
- Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
- Ability to clearly define problems, models and constraints from informal and flexible business requirements
- Form collaborative working environment.
