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Responsibilities
- Design, develop, and optimize recommendation systems, including collaborative filtering, content-based methods, and deep learning-based approaches.
- Build and apply algorithms for user behavior analysis, segmentation, and personalization.
- Develop RAG-based information retrieval systems.
- Fine-tune and deploy commercial & open-source LLMs.
- Design data acquisition and labeling processes, and develop data quality control algorithms.
- Deliver ML products by designing and implementing all data science steps
Qualifications
- BSc degree in Computer Engineering, Industrial Engineering, Mathematical Engineering, Artificial Intelligence, or related fields.
- At least 2 years of experience in data science and MLOps.
- Strong proficiency in Python programming and data science libraries.
- Familiarity with recommendation systems algorithms and concepts.
- Experience in modeling for NLP tasks.
- Hands-on experience with frameworks for building and integrating LLM-based applications.
- Solid understanding of Retrieval-Augmented Generation (RAG).
- Experience with SQL/NoSQL and database structures.
- Familiarity with CI/CD processes.
- Experience with PyTorch, TensorFlow, XGBoost, CatBoost, LightGBM, Hugging Face, and OpenAI tools.
- Proficiency in written and spoken English.
- Ability and motivation to self-teach, enter new domains, and manage ambiguity.
Preferred / Nice-to-have Qualifications
- A MSc degree in a relevant field.
- Solid academic or industrial experience in recommendation systems, user profiling, and human-computer interaction.
- Experience with Kubeflow technology.
- Familiarity with modern big data solutions and distributed computing platforms.
- Hands-on experience with vector and graph database technologies.
- Experience with cloud-based AI services
- Hands-on experience with LangChain, LLamaIndex, or similar frameworks and libraries.
- Understanding of explainable AI concepts and applications.
Important Note
Applicants must have at least 2 years of academic or professional experience in AI after graduation from relevant degrees.
Key Skills
Ranked by relevance
ai
artificial intelligence
distributed computing
deep learning
tensorflow
big data
kubeflow
pytorch
python
cloud
cicd
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- Posted
- Apr 28, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Sariyer
- Company
- CODEX
Industries
Software Development
Categories
Engineering
Information Technology
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