Technical Lead (Lead Python, Rest API, Microservices)

• 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
• Good working knowledge of Kubernetes and other virtualized execution technologies
• 4+ years of experience working on at least one cloud environment, 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 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
• Good to have Supply Chain domain knowledge.