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Data & MLOps Engineer (Istanbul, Ankara, Izmir)
Huawei Telekomünikasyon Dış Ticaret Ltdİstanbul, İstanbul, TR30+ gün önce
İş tipi
- Quick Apply
İş tanımıHands-on experience with SQL (HiveQL), Python and PySpark, Working experience on Big Data platforms is a plus (Experience in Hadoop ecosystem including the ability to interact with data through Hive, Map Reduce, Spark), 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. Familiar with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras) Familiar with development processes (CI / CD, DevOps, MLOps) 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. Strong analytical thinking, problem solving, communication and presentation skills, Strong desire for continuous learning and development, Passion for sharing what you've learnt and confidence to ask other for help, Ability to work in a multi-disciplinary and multi-cultural team, Good in both written and spoken English. (Basic Chinese knowledge is a plus.) Holding Master degree in computer science, data science, or a related field is a plus.
As Huawei Turkey R&D Center, we are now looking for a Mid-Junior Data Scientist to join our team.
Key areas of responsibility will be :
- Design and build scalable ML services,
- Create & Maintain Big Data Pipelines, Optimize & Tune performance of existing data infrastructure to ensure optimal processing and storage capabilities,
- Provide new effective systems which automates daily monitoring tasks and raise alarms when maintenance is needed for specific cases,
- Troubleshoot and resolve data-related issues in terms of ensuring data quality and integrity throughout the entire data life-cycle,
- Deploy ML services to production at scale considering resource constraints,
- Closely work with research engineers to understand their data needs and provide frequent data releases for the model team,
- Play an active role in suggesting, collecting, and preprocessing the data necessary to train the ML models and evaluate performance.
Requirements
Essential technical requirements :
A. Technical Requirements
B. Non-technical requirements & Attitude
Bu arama için bir iş uyarısı oluşturun
Istanbul Izmir Ankara • İstanbul, İstanbul, TR
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