Job Summary:

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.

Requirements:

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

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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