AI Research Engineer (Fresh Graduate Application)

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.

We have more than 194,000 employees, and we operate in more than 170 countries and regions, serving more than three billion people around the world.

Our vision and mission are to bring digital to every person, home, and organization for a fully connected, intelligent world.

To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.

As Huawei Turkey R&D Center, we are now looking for Fresh Graduate AI Research Engineers to join our ranks.

Key areas of responsibility will be :

1. Literature survey and feasibility analysis,

2. Pros / Cons analysis among various SOTA solutions in the literature,

3. Proof-of-concept development and performance test of the AI model,

4. Consult with the other teams to determine the requirements and formalize the possible ML research directions,

5. Deploy ML services to production at scale considering resource constraints,

6. Provides academic outputs in the form of papers, patents, and technical talks.

Requirements

A. Basic computer science and programming languages

• Understanding of data structures, data modeling, and software architecture,
• Having expertise in object-oriented programming,
• Ability to write reusable and easily-maintainable code using beautiful and proper design patterns,
• Ability to write robust and optimized code in Python,
• Strong programming skills (Python, SQL etc.) and experience with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras),
• Familiar with development processes (CI / CD, DevOps, MLOps).

B. Machine Learning

C. Working efficiency

D. Essential non-technical requirements

Benefits