AI Research Engineer

Summary

Huawei Turkey R&D Center is seeking a Fresh Graduate AI Research Engineer to join their team. The key areas of responsibility include literature survey, feasibility analysis, proof-of-concept development, consultations with other teams, deploying ML services to production, and providing academic outputs. Requirements include basic computer science and programming skills, machine learning expertise, working efficiency, and essential non-technical requirements.

Requirements

• Understanding of data structures, data modeling, and software architecture
• 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)
• Familiarity with development processes (CI/CD, DevOps, MLOps)
• Solid understanding of Neural Networks in theory
• Familiarity with modern machine learning frameworks
• Practical experience in deploying and optimizing ML models in production
• Experience in one of the fields: Deep Learning-based recommender models, NLP tasks (vector semantics such as TF-IDF or neural word embeds, entity labeling, text classification, etc.), Computer Vision tasks (such as Optical Character Recognition, Object Classification, Object detection, etc.)
• Fully-easy working capability in version control systems such as Gitlab or Github
• Experience in Docker for building a simulation of the production environment
• Solid understanding of JSON file, schema
• Fluent in English, both written and spoken
• Ability to work in a multi-disciplinary and multi-cultural team

Responsibilities

• Literature survey and feasibility analysis
• Pros / Cons analysis among various SOTA solutions in the literature
• Proof-of-concept development and performance test of the AI model
• Consult with the other teams to determine the requirements and formalize the possible ML research directions
• Deploy ML services to production at scale considering resource constraints
• Provides academic outputs in the form of papers, patents, and technical talks

Benefits

• A professional career in one of the leading multinational technology company
• Exceptional exposure and experience due to Huawei's global presence
• Great Development Opportunities including functional, cross-functional, and international rotations
• Learning and Development opportunities