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Siemens Digital Industries Software Machine Learning Engineer in New Cairo, Egypt

Job Family: Research & Development

Req ID: 425387

Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years.

We are looking for a Machine Learning Engineer to join our team based in Cairo, Egypt .

Responsibilities:

  • Successfully deploy ML models in pipelines and production environments.

  • Ensure the use of model pipelines that include version control of models, experiments, and metadata.

  • Conduct A/B testing on various models.

  • Optimize models for improved performance, latency, memory usage, and throughput.

  • Monitor model performance, and provide maintenance and support.

Requirements:

  • A bachelor's degree in Computer Engineering, Computer Science, or a related field.

  • Strong background in software engineering.

  • Good knowledge of OOP, data structures, and algorithms.

  • Experience in JAVA or C++/C.

  • Conceptual understanding of ML/AI methodologies.

  • Experience in creating and optimizing data pipelines.

  • Familiarity with ML frameworks like TensorFlow and PyTorch.

  • Good knowledge of both relational databases and NoSQL.

  • Strong knowledge of statistics and probability theory.

We’re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!

We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme and generous holiday allowance.

Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.

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