Deep Learning Specialist
ob 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 K8
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.