
- Kateqoriya: Informasiya texnologiyaları
- Şəhər: Bakı
- İş təcrübəsi: 1-3 il
- Maaş: Müsahibə əsasında
- Təhsil: Bakalavr
- İş rejimi: Tam-ştat
- Elan ID: 13114
- Elanın yerləşdirmə tarixi: 05.05.2025
- Elanın bitmə tarixi: 04.06.2025
Namizədə tələblər
- Bachelor or Master’s degree in Computer Science, Engineering, Information Technologies or related fields
- 1+ Years of experience as Data Scientist or equivalent
- Strong knowledge in Python programming language
- Deep understanding of the mathematics behind modern machine learning, linear algebra, and statistics
- Strong understanding in Classical Machine Learning and Deep Learning Models
- Experience with Deep Learning frameworks - (PyTorch or Tensorflow)
- Experience with Computer Vision applications or Natural language Processing Applications
- Experience with Git
- Strong understanding of CNN, RNN, LSTM, Transformers
- Good Understanding of Supervised, Unsupervised techniques for Deep learning models
- Good Understanding of Deployment tools - Docker, Airflow
- Good Understanding of Relational Databases (SQL)
- Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders
Preferred Qualifications:
- Experience with LLM, RAG
- Publish of Academic Paper
- Experience with other OOP languages
İş haqqında məlumat
We are seeking a highly skilled Deep Learning Specialist to join our forward-thinking team in the oil and gas sector. The ideal candidate will be instrumental in researching, transforming, and implementing advanced data science prototypes, working closely with cross-functional teams to deliver cutting-edge machine learning solutions. Your responsibilities will include designing, developing, integrating, and optimizing ML systems and algorithms.
Resposibilities:
- 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
We offer:
- 5/2, 09.00-18.00
- Meal allowance
- Annual performance bonuses
- Corporate health program: VIP voluntary insurance and special discounts for gyms
- Access to Digital Learning Platforms
Interested candidates can apply via the link in the Apply for job button.
Note: Only candidates who meet the requirements of the vacancy will be contacted for the next stage.
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