Bakı,
Azərbaycan
01.10.24
-
01.11.24
İş haqqında məlumat
- 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 synthetic data for language models, ensuring diversity and representativeness in datasets;
- Conduct and contribute to experiments, write reusable code;
- Deploy ML/DL models into production;
- Work closely with operation and production teams to understand their data needs and provide tailored analytical 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.
Tələblər
- Bachelor’s or master’s degree in STEM, or equivalent practical experience (3+ years);
- Proficiency in Python programming language;
- Strong understanding of classical machine learning and deep learning models;
- Experience with relational and non-relational databases (e.g., SQL, data pipelines, data lakes);
- Experience with Large Language Models, NLP, or Generative AI;
- Experience with Docker;Experience with machine learning frameworks (e.g., TensorFlow, PyTorch);
- Experience with Git;
- Excellent communication skills for presenting complex solutions to non-technical stakeholders and production team.
İnformasiya texnologiyaları
İKT
Elanın müddəti bitmişdir
