- Experience in the development and application of machine learning models for solving applied problems: forecasting, classification, optimization, anomaly detection and analysis of production processes.

- Understanding the main stages of ML solution development: data collection and preparation, research analysis, model training, quality assessment, testing and implementation of results.

- Strong Python programming skills and experience working with the main data analysis and machine learning libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch or similar tools.

- Experience working with time series, historical data, and building predictive models.

- Skills in processing, cleaning, combining and analyzing large volumes of production and technological data.

- A general understanding of the processes of the energy industry: production, transmission, distribution and consumption of energy resources, operating modes of equipment, technological indicators and efficiency indicators.

- Skills in working with SQL, databases, and information storage and processing tools.

- The ability to generate high-quality datasets for analytics and machine learning model training.

at least 5 years of experience as a system administrator or system engineer;

excellent knowledge of PCs and peripherals: diagnostics, replacement of components, work with BIOS/UEFI;

understanding of network principles, knowledge of basic network protocols, ability to find and fix network problems;

experience working with switches (preferably L2/L3), understanding VLAN, trunk/access, basic MikroTik settings;

• At least 5 years of backend development experience in Python;

• Strong knowledge of asyncio, FastAPI and PostgreSQL;

• Experience working with Kubernetes and microservice architecture;

• Practical experience in implementing LLM/RAG solutions in production;

• Knowledge of modern approaches to observability, security, and DevOps practices;

• Understanding the principles of building reliable and highly loaded systems.

Technology stack:

Python 3.11+, FastAPI, async SQLAlchemy, PostgreSQL, Redis, Kafka/Celery, Docker, Kubernetes, CI/CD, LLM/RAG, Qdrant/pgvector.

• Knowledge of the structure of the SAT exam and methods of preparation for it.• English language proficiency at a level sufficient for working with exam materials.• The ability to explain the material clearly and find an individual approach to students.• Responsibility, punctuality and willingness to conduct classes online.• The experience of preparing students for the SAT will be an advantage.

• Basic knowledge of the basics of marketing, advertising and promotion;
• Understanding the main stages of marketing campaign development and implementation;
• Work experience is not required - we consider students and candidates who are in the process of obtaining an education.

What we expect:

• Experience in similar tasks in the role of Marketing Analyst / Influence Marketing specialist from 1-2 years;
• High attention to numbers and details and confident work with Google Sheets / Excel: filters, sorting, basic formulas, large tables;
• Good understanding of TikTok / Reels / Shorts;
• The ability to justify a choice with data and criteria, not just a subjective opinion;
• Willingness to work with a large amount of the same type of information;
• Analytical thinking, consistency, discipline and independence;
• Readiness for daily research work.

That would be a plus:

• Experience in analyzing short-form content;
• Understanding performance marketing and content metrics;
• Experience with vidIQ, SocialBlade or analogues;
• English from Intermediate;
• Understanding the US/EU digital context, trends and memes;
• Experience in research tasks or working with large amounts of data.

• Basic skills in graphic editors (Adobe Photoshop, Illustrator, Figma, CorelDRAW or similar);

• Willingness to learn and develop professional skills;
• Work experience is not required - we consider students and novice specialists.

Basic knowledge of QA: Understanding the theory of testing (types of testing, bug lifecycle, test design techniques).
Attention to detail: The ability to spot minor inconsistencies, think outside the box, and reproduce complex error scenarios.
Literacy and communication: The ability to describe the Bug Report steps in a detailed, understandable and clear language.
Willingness to learn: Willingness to quickly delve into new tools, accept feedback, and develop in IT.
It will be a plus: Experience working with browser DevTools, Postman, Charles/Fiddler, or taking QA courses.

• At least 5 years of experience as a business/system analyst.
• Experience in managing analysts.
• Experience in team planning, task allocation, and load control.
• Willingness to be responsible for the results of the entire analytical team and at the same time personally handle the most difficult tasks.
• Experience working with complex enterprise systems.
• Confident mastery of BPMN 2.0.
• Practical experience in describing REST API, JSON and XML.
• Ability to design data models and work with SQL.
• Understanding synchronous and asynchronous integrations, idempotence, timeouts, and error handling.
• The ability to describe statuses, roles, access rights, validations, and life cycles.
• Experience in preparing sequence diagrams, state diagrams, ER models, and mapping tables.
• The ability to conduct impact analysis and find boundary scenarios.
• The ability to form complete and verifiable acceptance criteria.
• Experience working with Jira, Notion/Confluence, Swagger/OpenAPI, Postman, and modeling tools.

• At least 3 years of experience as a system analyst
• Strong command of UML, BPMN and ER diagrams
• Good understanding of the principles of integration interaction and experience working with REST/SOAP API
• Experience working with Postman or similar tools
• The ability to write SQL queries and understand the principles of relational and NoSQL databases
• Understanding the principles of data design and modeling
• Experience working with Jira, Confluence, Draw.io , Miro or similar tools
• Understanding the Software Development lifecycle and Agile/Scrum Processes
• The ability to structure a large amount of information, decompose complex tasks and take into account dependencies and risks
• The ability to formulate requirements clearly and establish communication with both the business and the technical team.​​​​​​​
• Basic understanding of programming principles and the ability to understand technical implementation
• Higher education in IT, computer science, mathematics or related fields will be a plus.