SR. Scheduling System Engineer

Responsibilities and Tasks:

Develop, implement, and maintain smart scheduling systems for manufacturing operations with AI- assisted tools and sharing AI-enabled enhancements.
Ensure strict adherence to project timelines and deliverables.
Collaborate with cross-functional teams to determine efficient scheduling solutions.
Analyze and optimize scheduling processes to improve productivity and efficiency.
Use data-driven insights to successfully implement innovative scheduling strategies with the ability to use AI-assisted tools.

Minimum Qualifications:

Master’s / Bachelor’s Degree in Computer Science, Data Science and Analytics, Industrial Engineering or related field of study
Programming language capability on C#, Python, APF Formatter, SQL, Python and CPLEX; experience with Snowflake, GCP and JS
Knowledge and experience in factory scheduling, simulation and application development.
Knowledge and experience in machine learning, deep learning, reinforcement learning are preferred.
With growth mindset to be adaptive in a rapidly changing environment, embrace challenges.
Familiarity with Agile methodology and tools such as Azure, JIRA, Git, Bitbucket, and Confluence.