
AI Research Engineer
- İstanbul
- Sürekli
- Tam zamanlı
- Design, develop, and optimize CTR prediction, collaborative filtering, graph-based models and ranking models for efficient and accurate recommendation functionality in app store domain.
- Conduct feature engineering and data analysis to drive better model performance and insights.
- Design, build and deploy scalable ML services on Huawei's MLOps platform to address business requirements.
- Collaborate with cross-functional teams to analyze complex data requirements and design innovative software solutions.
- Conduct code reviews to ensure high-quality, maintainable, and efficient code following industry best practices.
- Mentor and guide junior engineers in the areas of search, information retrieval, deep learning, and NLP.
- Stay updated with the latest advancements in search, information retrieval, ranking, deep learning and NLP and integrate them into our products and services.
- Produce academic outputs in the form of papers, patents, and technical talks.
- Bachelor'sdegree with focus on RecSys, IR and DL, preferably in a computer science & engineering or related fields.
- 1+ years of experience preferably in industry.
- Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
- Experience with popular deep learning frameworks (TensorFlow, PyTorch) and ML & DL libraries.
- Experience in integrating deep models, language models (LMs) and ranking models for large-scale recommendation engines using these specialized techniques.
- Previous project experience in search or recommendation systems domain is a big plus.
- Java service development experience using Spring and related topics & technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)
- Fluency in English is important, reading/writing skills in Russian and/or Arabic is a plus.