This a Full Remote job, the offer is available from: Turkey
As Huawei Turkey R&D Center, we are now looking for Junior/Mid/Senior AI Research Engineers to join our team.
Key areas of responsibility will be:
- Make research on retrieval, pre-rank, and rank stages of SOTA Recommenders Systems,
- Design and build scalable ML services,
- Deploy ML services to production at scale considering resource constraints,
- Monitoring models to evaluate and improve services online,
- 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.
Requirements
Essential technical 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
- Solid understanding of Neural Networks in theory such as convex optimization, hessian approximations, conjugate gradient, and Gauss-Newton steps,
- Familiarity with modern machine learning frameworks.
C. Recommender System, related NLP and Computer Vision fields
- Proven experience as a Machine Learning/AI Engineer or similar role building largescale recommender systems to solve real live-stream problems,
- 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.)
D. Working efficiency
- 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, and schema.
E. Academic
- Ph.D. degree in computer science, data science, or a related field,
- Being published in Articles and Proceedings in reputable journals related to recommenders systems such as ACL and SIGIR is a significant plus.
Essential non-technical requirements:
- Fluent in English, both written and spoken,
- Ability to work in a multi-disciplinary and multi-cultural team.
Benefits
What do we offer?
Competitive salary,
Discount at MSc/Ph.D. programs from several top universities,
Employee Gift Packs for special events,
Online training platforms,
External certification support,
A culture of continuous development: conferences, in-house events & Tech Talks to stay up-to-date on current research and technology.
This offer from “Huawei Telekomünikasyon Dış Ticaret Ltd” has been enriched by Jobgether.com and got a 72% flex score.