About the job
Scope
The Execution Machine Learning team works closely with sales, product, and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse, and massive data into actionable insights with measurable improvements to the customer bottom line. They use rigorous analysis and repeatable processes to implement both black box and interpretable models.
Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models, and produces billions of predictions on a daily basis
What You'll Do
Design, architect, implement and help operate the Execution Machine Learning platform by
Observing inefficiencies, both in cost and reliability, of existing processes
Researching alternative solutions using custom or existing open-source technologies
Designing replacement processes and components
Implementing processes, extending, and configuring open-source components




Work with the DevOps and Support teams to operate platform by
Helping implement DevOps best practices of in-house and open-source components.
Ensuring smooth operation via monitoring and alerting facilities
Work with the data scientists to
Design scalable solutions for both model building and serving.
What We Are Looking For
Bachelor's degree in computer science is required, Masters is preferred
7+ years of software engineering experience building production software.
Experience in Frontend technologies, JavaScript, TypeScript, React
Valuable working knowledge of Kubernetes and other virtualized execution technologies
4+ years of experience working on at least one cloud setting, GCP preferred.
7+ years of Python programming experience with excellent understanding of Object-Oriented Design & Patterns
5+ years of experience in building REST APIs
1+ Working Experience on Kafka and its integration with Cloud Service

📌 Lead Software Engineer Secunderabad
🏢 Blue Yonder
📍 Secunderabad