Machine Learning Engineer

Si ware systems

Posted on 2 Mar

Experience

1 - 4 Years

Job Location

Cairo - Egypt

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

You will work at the intersection of machine learning, software engineering, and intelligent hardware integration.

Responsibilities:

Machine Learning & Modeling

  • Perform data cleaning, preprocessing, and transformation for training and evaluation.

  • Contribute to the development, training, and improvement of machine learning models.

  • Design and execute structured experiments using appropriate validation strategies (cross-validation, hold-out testing, statistical comparison).

  • Evaluate models using appropriate performance metrics (Accuracy, Precision, Recall, F1, RMSE, etc.).

  • Optimize models and inference pipelines for performance, memory efficiency, and real-time constraints when required.

  • Ensure reproducibility, traceability, and proper validation of models within regulated or industrial environments.

  • Support chemometrics-related workflows, including spectral preprocessing, feature extraction, multivariate modeling, and validation for spectroscopy-based applications.

Production & System Integration

  • Design and implement production-ready ML pipelines integrated with software applications and hardware systems.

  • Ensure models are maintainable, version-controlled, and deployable within real-world products.

  • Contribute to the design and evolution of ML system architecture and reusable pipeline components.

  • Develop unit and integration tests for ML components to ensure reliability.

  • Document ML modules and interfaces to support long-term maintainability.

  • Work closely with software and firmware teams to integrate ML models into desktop applications, services, and embedded workflows.

Tools, Innovation & Growth

  • Participate in the development of internal and customer-facing ML-driven tools and automation utilities.

  • Stay updated with the latest machine learning research, tools, and industry practices.

  • Contribute to exploratory and applied ML solutions in emerging physical AI systems, including robotics and sensor-driven intelligent platforms.

Desired Candidate Profile

Job requirements

  • Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field.

  • 1 - 4 years of relevant industry or applied ML experience preferred.

  • Strong focus on applied machine learning and engineering implementation.

  • Hands-on experience with Python and its ML ecosystem (NumPy, Pandas, Matplotlib, Scikit-Learn).

  • Familiarity with at least one deep learning framework (PyTorch or TensorFlow).

  • Solid understanding of software engineering principles (modular design, version control, testing, debugging).

  • Experience structuring modular Python codebases.

  • Familiarity with packaging, model serialization, and reproducible pipelines.

  • Experience working within larger software systems (not only notebooks).

  • Strong analytical and problem-solving skills.

  • Good communication skills and ability to work in a collaborative team environment.

  • Proficiency in English (reading and writing).

Nice to Have:

  • Basic understanding of chemometrics concepts (multivariate analysis, regression/classification, spectral data handling).

  • Exposure to spectroscopy data (NIR, IR) and common preprocessing techniques (normalization, smoothing, baseline correction).

  • Experience contributing to ML tools, internal platforms, or data analysis software.

  • Knowledge of MLOps practices (Git, CI/CD, Docker).

  • Experience with cloud platforms (AWS, GCP, Azure).

  • Experience with robotics frameworks (ROS).

  • Experience with sensor fusion.

  • Experience with real-time ML inference.

  • Basic understanding of control systems.

  • Exposure to data visualization or BI tools.

  • Contributions to Kaggle competitions, research projects, or open-source initiatives.

Company Industry

  • IT - Software Services

Department / Functional Area

  • IT Software

Keywords

  • Machine Learning Engineer

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Si ware systems

Si-Ware Systems is a global leader in semiconductor and spectroscopy solutions. Our innovative devices and software enable material analysis across many industries.

At Si-Ware, we foster a culture of innovation, collaboration, and continuous learning, empowering our people to push the boundaries of technology.

https://siwaresystems.recruitee.com/o/machine-learning-engineer

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