Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalogue management, order fulfilment, return & refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
More about Marketplace: https://marketplace.walmart.com/
What You Will Do
Staff Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.
Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows
Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data
Own the MLOps lifecycle,
from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
Demonstrate solid thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What You Will Bring
Knowledge of the foundations of machine learning and statistics
Experience with web service standards and related patterns (REST, gRPC)
Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
Familiar with distributed in-memory computing technologies
Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world
📌 (IND) STAFF, DATA SCIENTIST (Bengaluru)
🏢 Walmart Global Tech
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.