Deep Learning Specialist
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.