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El Qahera El Gididaa, Egypt
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El Qahera El Gididaa, Egypt
SSP - R&D AI/ML DEVELOPMENT INTERN - 504309
El Qahera El Gididaa, EgyptSiemens Digital Industries Software is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. Our solutions help companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities and levels of automation to drive innovation.
iemens Digital Industry Software - Tomorrow with Us! Meet the team - [1] Video
Based: Cairo, Egypt. Hybrid
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. We offer a role with responsibility, independence, and the possibility to give proactively, by encouraging a collaboration culture with room for individual development.
The R&D team is looking a summer interns to work as a AI/ML Development Engineer.
Start your career with the Strategic Student Program (SSP)!
The SSP is our formal internship programs at SIEMENS Software. You will be mentored by guides and work directly with costumers to create direct business impact and again invaluable professional experience!
The program is a 2 months summer internship in July/August 2026. There will be opportunity to learn and contribute in a variety of areas of the software development process, with emphasis on a number of achievable projects to both encourage your development and deliver something useful.
Responsibilities:
- Design, improve, implement, and release AI-based applications that meets functionality, usability, reliability, performance, and supportability requirements.
- Contribute to the integration of AI solutions into existing software frameworks and workflows.
- Document development processes, model architectures, and experimental results clearly and concisely.
- Analyze problems and locate bottlenecks across different applications.
- Collaborate with team members in day-to-day development activities.
- Participate in project planning and tracking - task investigation, work breakdown, and schedule estimation.
- Learn about the complexities of hardware verification and how AI can optimize these processes.
Qualifications:
- 3rd and 4rth undergraduate students in Computer Engineering, Electronics/CS and Communications Engineering, or a related field.
- Fundamentals in object-oriented design, data structures, algorithm design and analysis.
- Strong foundational knowledge of machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience in designing and building complex software systems.
- Proficiency in at least one major programming language (e.g., Python, C++, Java) with a focus on AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Experience or strong interest in working with Large Language Models (LLMs), building AI/ML pipelines, or developing/utilizing AI Agents or Agentic AIs.
- Experience in Frontend design and development using latest technologies (React or flutter) is a plus.
- Familiar with working on Linux/Unix OS is a plus
- Team player and willing to collaborate within a team environment.
- Highly developed communication and presentation skills.
Why Working at Siemens Software?
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
We are 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.
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