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- Develop, implement, and improve schedule optimization models using Timefold within a workforce management product
- Be the contact person with Timefold on technical usage
- Train developers on modeling and solving optimization problems
- Act as a technical expert on optimization models and implementation for scheduling
- Work with the engineering team to implement the models to solve business problems
- Background in operations research or management science
- Experience with scheduling algorithms or combinatorial optimization problems
- Able to communicate and explain optimization techniques and concepts to both laypersons and experts
- A good team player
- Experience in software development using one of the languages such as Java, Python etc.
- Experience working with metaheuristics
- Experience working with solvers such as Gurobi, Optaplanner/Timefold, CPlex, Fico Xpress and/or modeling languages like GAMS or AMPL
- Industry experience in scheduling or workforce management
- Experience working in software development teams
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Optimization and Research Engineer - Alpharetta, United States - ADPMN INC
Description
Job Description
Job DescriptionPosition: Optimization and Research Engineer
Location:Alpharetta, GA
Job Description
Position Summary:
Looking for experienced and skilled Optimization Engineer to join our team in Alpharetta, GA. The candidate will work closely with Product owners, Development teams, Architecture Teams, and Infra Team to gather and analyze non-functional requirements of complex schedule Optimization, planning and automation needs.This role will be responsible for converting business requirements into technical specs, modeling and solving Optimization/planning problems, work with engineering team for implementation.
Responsibilities:
Qualification:
Bachelors or Master degree in Industrial Engineering, Math or Computer Science
3+ years of experience in modeling and solving complex optimization and planning problems using TimeFold (or any optimization solver)
Required Skills:
Preferred Skills:
