BigQueryCloudFlaskGoogle Cloud PlatformJavaScriptPythonReactSpring BootSpringBootSQLAIMachine LearningMLLarge Language ModelsAgenticBIPower BISpringGoogle CloudGitLeadershipCommunication
About this role
Role Overview
Project Planning & Execution
Aggregate and manage requests for assigned supply chain systems and solutions. Work with internal customers to understand their needs and requirements, and provide feasible solutions driven by AI/ML.
Build Systems with AI
Utilize AI and large language models to solve challenging problems ranging from solving data quality issues to applying agentic AI solutions using industry standard protocols, to solve the business needs.
Feature Engineering / Data Products
Build aggregations and features from Terabytes of data from different systems. Build production-ready pipelines for data preparation using BigQuery and/or other technologies such as Graph Databases.
Apply Machine Learning
Due to the adhoc nature of the global supply chain, build statistical and machine learning models and provide actionable insights to the business as needed. Productionize and deploy the solutions.
Develop Supply Chain AI Systems
In order for the business to utilize the analytical results, build web applications (using Flask/ React, Springboot, , dash, etc.) for the internal customers. Work with software engineers and architects to promote the system from proof-of-concept to production.
Requirements
Bachelor’s degree discipline in Supply Chain, Computer Science, Engineering, or related field.
3+ years of leading projects from requirement gathering to implementation details.
5+ years of building AI/ML solutions and software applications.
Proficiency using SQL, Python (and libraries such as Flask, Dash, etc.), Javascript, git.
Fast learner, able to adopt new technologies and methodologies quickly.
Excellent communication, interpersonal, and leadership skills.
3+ years of experience in supply chain, sourcing, logistics, operations, or related fields (even better).
Masters Degree in Supply Chain, Computer Science, Engineering, or related field (even better).
Customer-centric mindset / prior experience in leading AI/ML product designs (even better).
Knowledge of Power BI, Google Cloud Platform toolchain (even better).
Balanced Experience in Data Science and software engineering (building AI/ML systems) (even better).
Tech Stack
BigQuery
Cloud
Flask
Google Cloud Platform
JavaScript
Python
React
Spring Boot
SpringBoot
SQL
Benefits
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.