Software Engineering
Machine Learning
Improving is committed to building a great place to work by cultivating an environment that fosters professional and personal relationships. We value open communication, personal growth, and shared rewards, which result in sustainable success.
Voted “best place to work” numerous times, Improving strives to create and maintain a culture that exemplifies teamwork, excellence, and fun! We believe this kind of culture encourages both the inspiration and the motivation to achieve amazing things.
Support and improve a production scheduling solution for a steel coating and painting operation. You will adapt an existing optimization model; you won’t be building one from scratch.
What You’ll Do
- Reverse-engineer an existing optimization model and solver built by another team, and learn its logic, constraints and data flows
- Adapt and extend the solution for North American plant scheduling and simpler paint/coating lines
- Sequence production jobs by grouping paint colors and steel dimensions, cutting changeovers (around 20 minutes per paint change) and line downtime
- Adjust the model as operational constraints and short-notice customer orders change
- Support integration of scheduling outputs with the Oracle ERP
- Troubleshoot production issues and deliver ongoing enhancements after rollout
What You’ll Bring
- Strong Python skills, with experience implementing, modifying and troubleshooting production-grade ML or mathematical optimization solutions
- Hands-on experience with optimization solvers and machine learning platforms
- Experience tuning, retraining or reconfiguring optimization/ML models for different operational constraints
- Ability to work independently in an existing codebase with limited documentation and subject-matter knowledge
- Nice to have: Azure Machine Learning experience; a background in manufacturing scheduling, production optimization, constraint optimization or supply-chain scheduling
Improving welcomes people from all backgrounds and walks of life, and this is reflected in our largely diverse community of Improvers. Improving is proud to be an equal opportunity employer and is committed to providing equal opportunities for all employees and applicants. Improving recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to race, color, religion, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law.
About Improving
Improving is a modern digital services company dedicated to positively changing the perception of the IT professional. We offer innovative solutions through consulting, software development, and training to help thousands of our clients achieve new heights in a competitive and ever-changing market.
As our company continues to grow, we are looking for enthusiastic thought leaders to join our team. Improving has a unique mix of passionate professionals who strive to grow and thrive in new ways. We are committed to establishing and maintaining an inclusive culture that allows all Improvers to bring their authentic selves to work each day. This is why we work hard to build inclusion and diversity in our workplace, so we can all do amazing things and succeed together.
