Design, develop, and implement deep learning and generative AI models to analyze complex, large-scale product data from the Walmart catalog
Train, fine-tune, and optimize Computer vision, Natural Language Processing, multi-modal models, and Large Language Models (LLMs) for product categorization and relationships.
Lead the deployment of machine learning models into production systems, ensuring high performance, scalability, and stability.
Architect and create comprehensive systems and tools that facilitate data exploration, model development, model deployment, model monitoring, and logging within the production system
Undertake cutting-edge research in the field of deep learning and generative AI, pushing the boundaries of technology to remain at the forefront of advancements, particularly in their application to ecommerce.
Mentor junior data scientists and provide guidance on complex technical issues.
Requirements & Skills:
Proficiency in Model Development: You bring extensive experience in every aspect of AI model development. Your expertise lies in creating, training, and refining models, specifically those related to Computer Vision, Natural Language Processing (NLP), multi-modal, and Generative AI models.
End-to-End Experience: You have a proven track record of handling the entire model development and deployment lifecycle. This includes the initial concept creation through to the effective implementation in practical, real-world scenarios.
Proficiency in Key Technologies: You have hands-on experience with Pytorch, Hugging Face, cloud computing, and CI/CD.
Understanding of E-commerce: Your understanding of the e-commerce landscape is comprehensive, with a proven ability to leverage AI technologies to drive business results in this sector.
Exceptional Problem-Solving Skills: You excel in addressing complex challenges, often under tight deadlines, employing a data-driven approach to make informed decisions and deliver solutions.
