Machine Learning Engineer

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.

Digital Verification Technologies (DVT) division seeks 2 full-time Machine Learning Engineers to join our team in Cairo, Egypt.

Responsibilities:

• Successful deployment of ML models in pipelines & production.
• Ensure using models pipeline which entails version control of models, experiments & metadata.
• A/B testing on various models.
• Optimize models for better performance, latency, memory and throughput.
• Monitor models performance, maintenance & support.

Qualifications:

• B.Sc. of Computer Science or Computer Engineering or Electronics & Communications.
• M.Sc. in ML related fields is a plus!
• Strong SW Engineering background.
• Good Knowledge in OOP, Data Structures, Algorithms.
• Experience in (JAVA or C++/C).
• Conceptual knowledge of ML/AI methodologies.
• Experience in creating/optimizing data pipelines.
• Good knowledge of ML Frameworks like TensorFlow, PyTorch.. etc and Relational DB and NoSQL.
• Strong knowledge of statistics & probability theory.
• Highly developed communication skills, including the ability to present ideas and share your knowledge with others.

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 and a generous holiday allowance.

Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access, equal opportunity for individuals with disabilities in employment, its services, programs, and activities.