Data & MLOps Engineer (Istanbul, Ankara, Izmir) Full Time

Job Description:

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

• Hands-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.

B. Non-technical requirements & Attitude

• 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.