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
3+ years of software engineering experience building production software.
Experience in Frontend technologies, JavaScript, TypeScript, React
Good working knowledge of Kubernetes and other virtualized execution technologies
1+ years of experience working on at least one cloud environment, GCP preferred.
2+ years of Python programming experience with excellent understanding of Object-Oriented Design Patterns
1+ years of experience in building REST APIs
1+ Working Experience on Kafka and its integration with Cloud Services.
2+ years of Linux scripting experience
1+ years working with traditional and new relational SQL DBMS; Hive and Big Query preferred.
1+ years of experience with NOSQL databases; Cassandra, Hbase, Redis
Strong CS fundamentals in algorithms and data structures
Should have experience working with CI/CD, automated unit, and integration testing.
Some experience with streaming frameworks, preferably Beam on Samza/Flink/DataFlow
Familiarity with modern Big Data computing platforms such as Hadoop and Spark
Exposure to one or more of: Pandas, NumPy, sklearn, Keras, TensorFlow, Jupyter, Matplotlib etc.
