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’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.

Preferred Qualifications

• Working experience with Airflow
• Knowledge of C++
• Knowledge of K8S

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.

Note: Only candidates who meet the requirements of the vacancy will be contacted for the next stage.