Senior AI Research Engineer

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February 8

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Huawei

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Telecommunications • Hardware • SaaS

Huawei is a global technology company that provides a wide range of products, solutions, and services in the telecommunications industry. It offers consumer products such as smartphones, tablets, and wearables, and enterprise solutions including networking and cloud services. Huawei serves carrier networks with products and solutions, and also provides digital power solutions. The company operates across several regions worldwide, making significant contributions in advancing technology infrastructure and digital transformation.

10,000+ employees

Founded 1987

📡 Telecommunications

🔧 Hardware

☁️ SaaS

💰 Seed Round on 2013-01

📋 Description

• As Huawei Turkey R&D Center, we are now looking for Research Engineers to join our ranks. • We, as the AI Team of the Petal Search, are mainly working on search results improvement to increase end-user satisfaction. • In order to improve search results, we are applying/customizing state-of-the-art approaches in the fields of Natural Language Processing, Information Retrieval, Machine Learning and Deep Learning. • In our team, we are trying to allocate time for research and development as well as publishing papers in top conferences such as ACL, EMNLP, SIGIR, CIKM. • Key areas of responsibility will be: • Design and build scalable ML services, • Deploy ML services to production at scale considering resource constraints, • Monitoring models to evaluate and improve, • Play an active role in suggesting, collecting, and preprocessing the data necessary to train the ML models and evaluate performance, • Consult with the other teams to determine the requirements and formalize the possible ML research directions • Transforming new research ideas into publication at top conferences.

🎯 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 • B. Machine Learning • Solid understanding of Neural Networks • Familiarity with modern machine learning frameworks. • Proven experience as a Machine Learning/AI Engineer or similar role • Practical experience in deploying and optimizing ML models in production, • Experience in NLP tasks • MSc, or PhD in Computer Engineering, include in the fields of Natural Language Processing, Information Retrieval, Machine Learning and Deep Learning. • Solid knowledge and hands-on experience in one of the research fields mentioned above. • D. Working efficiency • Fully-easy working capability in version control systems such as Gitlab or Github, • E. Academic • Essential non-technical requirements: • Fluent in English, both written and spoken, • Ability to work in a multi-disciplinary and multi-cultural team.