Yerləşmə
Bakı
Təcrübə
1+ il
Məşğulluq
Tam ştat
Əməkhaqqı
Göstərilməyib
Yerləşdirilib
24 iyun 2026

Vakansiya haqqında

Analyze large and complex datasets from unstructured data, logs, and production records.Build LM-based applications such as Retriever-Augmented Generation (RAG) to support different teams within the organization.Create Computer Vision Applications for real-time and batch processing.Conduct and contribute to experiments, write reusable code.Deploy ML/DL models into production with necessary pipeline modules.Work closely with operation and production teams to understand their data needs and provide tailored AI solutions.Collaborate with cross-functional teams within the Data Science, Data Engineering, and Data Analytics divisions to ensure data pipelines, models, and analyses are aligned with business needs.Contribute to innovation by staying updated on the latest industry trends in data science, machine learning, and AI, and applying them to upstream challenges. Xüsusi tələblər Bachelor or Master’s degree in Computer Science, Engineering, Information Technologies or related fields.1+ Years of experience as Data Scientist or equivalentStrong knowledge in Python programming languageDeep understanding of the mathematics behind modern machine learning, linear algebra, and statisticsStrong understanding in Classical Machine Learning and Deep LearningExperience with Deep Learning frameworks - (PyTorch or Tensorflow)Experience with Computer Vision applications or Natural language Processing Applications.Experience with GitStrong understanding of CNN, RNN, LSTM, TransformersGood Understanding of Supervised, Unsupervised techniques for Deep learning models.Good Understanding of Deployment tools - Docker, AirflowGood Understanding of Relational Databases (SQL)Strong communication skills with ability to explain complex technical concepts to non-technical stakeholdersPreferred QualificationsExperience with LLM, RAGUnderstanding of KubernetesPublish of Academic PaperExperience with other OOP languages Müraciət etmək üçün: [email protected]

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Deep learning mütəxəssisi
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