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Deep Learning Specialist

  • 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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