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Key Responsibilities:Conduct data cleaning, preprocessing, and transformation to prepare datasets for training and evaluation.Contribute to the design, training, and enhancement of machine learning models.Plan and carry out structured experiments utilizing validation strategies such as cross-validation, hold-out testing, and statistical comparison.Assess model performance with metrics like Accuracy, Precision, Recall, F1 Score, and RMSE.Optimize models and inference pipelines to meet performance, memory efficiency, and real-time constraints.Ensure reproducibility, traceability, and validation of models in regulated or industrial settings.Support chemometrics workflows including spectral preprocessing, feature extraction, multivariate modeling, and validation for spectroscopy applications.Production & System Integration:Develop and implement production-ready ML pipelines integrated with software and hardware systems.Ensure that models are maintainable, version-controlled, and deployable within real-world applications.Contribute to the design and evolution of ML system architecture and reusable pipeline components.Create unit and integration tests for ML components.
About the job
Si-Ware Systems stands at the forefront of semiconductor and spectroscopy innovations, delivering cutting-edge devices and software solutions that facilitate material analysis across diverse industries.
We cultivate a vibrant work culture that emphasizes innovation, teamwork, and lifelong learning, empowering our employees to explore and redefine technological frontiers.
As a Machine Learning Engineer, you will be instrumental in designing, implementing, and deploying applied machine learning solutions that enhance real-world spectroscopy devices and advance emerging physical AI systems.
You will operate at the confluence of machine learning, software engineering, and intelligent hardware integration.
About Si-Ware Systems
Si-Ware Systems is a pioneering force in the semiconductor and spectroscopy domain, offering innovative solutions that enable advanced material analysis across a wide range of industries. Our commitment to fostering a collaborative and innovative culture empowers our team to push the limits of technology and deliver outstanding results.
Machine Learning Engineer at Si-Ware Systems | Cairo
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Experience
Qualifications
Key Responsibilities:Conduct data cleaning, preprocessing, and transformation to prepare datasets for training and evaluation.Contribute to the design, training, and enhancement of machine learning models.Plan and carry out structured experiments utilizing validation strategies such as cross-validation, hold-out testing, and statistical comparison.Assess model performance with metrics like Accuracy, Precision, Recall, F1 Score, and RMSE.Optimize models and inference pipelines to meet performance, memory efficiency, and real-time constraints.Ensure reproducibility, traceability, and validation of models in regulated or industrial settings.Support chemometrics workflows including spectral preprocessing, feature extraction, multivariate modeling, and validation for spectroscopy applications.Production & System Integration:Develop and implement production-ready ML pipelines integrated with software and hardware systems.Ensure that models are maintainable, version-controlled, and deployable within real-world applications.Contribute to the design and evolution of ML system architecture and reusable pipeline components.Create unit and integration tests for ML components.
About the job
Si-Ware Systems stands at the forefront of semiconductor and spectroscopy innovations, delivering cutting-edge devices and software solutions that facilitate material analysis across diverse industries.
We cultivate a vibrant work culture that emphasizes innovation, teamwork, and lifelong learning, empowering our employees to explore and redefine technological frontiers.
As a Machine Learning Engineer, you will be instrumental in designing, implementing, and deploying applied machine learning solutions that enhance real-world spectroscopy devices and advance emerging physical AI systems.
You will operate at the confluence of machine learning, software engineering, and intelligent hardware integration.
About Si-Ware Systems
Si-Ware Systems is a pioneering force in the semiconductor and spectroscopy domain, offering innovative solutions that enable advanced material analysis across a wide range of industries. Our commitment to fostering a collaborative and innovative culture empowers our team to push the limits of technology and deliver outstanding results.
