Requirements

• Design and build scalable ML models
• Deploy ML models 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
• Following the state-of-the-art NLP models in the literature
• Transforming new research ideas into publication at top conferences

Requirements

• Basic computer science and programming languages
• Understanding of data structures, data modelling, 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
• Ability to use a code versioning system like Git/SVN
• Hands-on experience in Hadoop, HDFS, Spark, SparkNLP
• Machine/Deep Learning
• Solid understanding of Neural Network architectures
• Familiarity with modern machine / deep learning frameworks (such as Pytorch, Pytorch-Lightning, Tensorflow, Keras, Huggingface Transformers, LightGBM, XGBoost, Sklearn)
• 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
• Academic
• PhD in Computer Engineering or related fields, include in the fields of Natural Language Processing, Information Retrieval, Machine Learning and Deep Learning
• MSc is also acceptable with at least 5 years work experience in NLP/ML/DL domains
• Solid knowledge and hands-on experience in one of the research fields mentioned above
• Essential non-technical requirements:
• Native Arabic or fluent in Arabic language (Highly recommended but not necessary)
• Fluent in English, both written and spoken
• Ability to work in a multi-disciplinary and multi-cultural team

We offer

• You will be a member of Turkey Petal Search AI team which:
• Applies research capabilities to large scale live search engine product
• Gains applied research experience everyday
• Improves end-user experiences for Petal Search engine
• Has experienced team members on NLP/DL/ML domains from top universities
• Offers a great opportunity to improve academic background with talks, seminars, training's etc.
• Has supportive, respectful, dynamic, and amusing team spirit
• Communicates overseas teams and collaborates regularly
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