Python ML & Optimization Engineer

Sobre el puesto

Job functions • Reverse-engineer and understand an existing optimization model/solver created by another team. • Modify and customize the existing solution for different operational constraints. • Adapt the Australian implementation to North American plant scheduling and paint/coating line requirements. • Implement, modify, and troubleshoot production-grade ML or mathematical optimization solutions. • Tune, retrain, or reconfigure optimization and ML solutions based on changing operational requirements. • Support a manufacturing scheduling solution designed to minimize production transitions, machine downtime, and changeovers while maximizing throughput. • Work independently within an existing codebase where documentation and subject-matter knowledge may be limited. Qualifications and requirements • Python: Development skills with experience implementing, modifying, and troubleshooting production-grade ML or mathematical optimization solutions. • Optimization / Solvers: Hands-on optimization and solver experience. • Machine Learning: Experience working with machine learning platforms. • Experience tuning, retraining, or reconfiguring optimization/ML solutions for different operational constraints. • Ability to work independently in an existing codebase where documentation and subject-matter knowledge may be limited. Nice to have skills • Azure Machine Learning experience. Azure ML is desirable but should not be an absolute screening requirement if the candidate has strong ML/optimization fundamentals. • Experience with manufacturing scheduling, production optimization, constraint optimization, or supply-chain scheduling. • Experience working with sequencing problems involving manufacturing jobs, machine downtime, production changeovers, or similar operational constraints. Benefits • Contrato a largo plazo. • 100% Remoto. • Vacaciones y PTOs • Posibilidad de recibir 2 bonos al año. • 2 revisiones salariales al año. • Clases de inglés. • Equipamiento Apple. • Plataforma de cursos en linea • Budget para compra de libros. • Budget para compra de materiales de trabajo • mucho mas..

Publicada el 8 nov 2026