What do we expect from the candidate:

• Higher professional education (IT, system analysis, applied computer science) and work experience as a system or business analyst in IT (preferably B2B SaaS, Enterprise or Cybersecurity);
• Understanding the lifecycle of accounts, access control principles (RBAC, ABAC), and IDM/IGA class systems;
• Confident knowledge of methods for collecting requirements, writing User Stories, Use Cases, and Acceptance Criteria;
• Knowledge of BPMN 2.0 and UML notations, ability to draw understandable process diagrams;
• Understanding High-Level Architecture, Data Flows, client-server architecture, REST API basics (JSON/XML, Swagger) and basic SQL queries;
• Understanding Agile/Scrum/Kanban, ability to decompose tasks and work in Jira, Confluence, Miro;
• Knowledge of the UAT (Acceptance Testing) methodology;
• Understanding the basics of information security and personal data protection requirements.

• Strong development experience on modern versions of Angular v20+ and practical use of Angular Signals in real projects
• Deep understanding of the key concepts of modern Angular: components, directives, services, dependency injection, standalone architecture, lifecycle and routing
• The ability to choose correctly between Signals and RxJS, as well as confidently work with RxJS for asynchronous scenarios and reactive streams
• Experience in designing modular architecture, working with Angular Forms, validation and performance optimization through change detection mechanisms
• The English level is at least B1 – it is necessary for effective communication with an international team.

• At least 3 years of experience as a business analyst in the field of fintech, banking products or payment solutions
• Ability to read and analyze technical documentation (API, integration processes)
• Experience working closely with development teams
• Experience in collecting, structuring, and documenting requirements (BRD, user stories, use cases)
• Developed product thinking and understanding of user scenarios

• Skills in prioritizing tasks and working in an Agile environment
• Experience in conducting A/B tests and analyzing product metrics
• Strong communication skills and experience in interacting with stakeholders
• English language level B2 and above for effective communication with an international team

• Experience working with Oracle NetSuite for at least 3 years.
• Experience in implementing and configuring ERP systems.
• Knowledge of SuiteScript, SuiteTalk API, SuiteFlow and SuiteBuilder.
• Experience working with SQL/SuiteQL for data analysis and reporting.
• English at the B2 level and above.

That would be a plus:

• Oracle NetSuite certifications (Administrator, ERP Consultant, SuiteFoundation).
• Experience working with multi-ledger accounting, consolidated financial statements, and other financial systems.

• Experience working with LLM, industrial engineering and ML pipelines
• Experience in evaluating the quality of models and conducting experiments
• Ability to design and implement effective AI solutions
• Experience in the development and maintenance of production services
• Confident command of Python
• Experience working with commercial and open-source LLMs
• Familiarization with tools for the development and evaluation of RAG systems
• Strong communication skills
• English at level B1 and above 

• Deep understanding of ML and LLM
• Experience in developing AI products for production
• Experience working with RAG, search and agent systems
• Experience in quality assessment, monitoring, and model maintenance
• Understanding the principles of safety and reliability of AI systems
• Confident command of Python
• Introduction to the modern AI/LLM stack
• Strong communication skills
• English at the B1 level and above 

• Practical experience working with deep learning and Transformer models.
• OCR experience: text recognition, document structure analysis, data extraction
• Experience in learning, retraining, or adapting CV models for applied tasks
• Strong command of PyTorch, OpenCV, torchvision or similar tools
• Understanding the impact of data quality and markup on model quality
• Knowledge of teaching methods and further education of LLM models
• English at the B1 level and above

Highly qualified specialist in the field of geographic information systems (GIS), remote sensing of the Earth (remote sensing) and modern AI tools. At least 5 years of experience in GeoTech, cartography or spatial data analysis. Strong knowledge of QGIS, experience working with satellite imagery (Sentinel-2, Google Earth), vector and raster layers, cadastral boundaries. Experience integrating AI to accelerate analytical processes and report preparation. At least 1 year of experience in teaching, conducting workshops, or training government/corporate sector employees. 

• Strong understanding of a variety of LLMs and their capabilities and agentic infrastructure
• Experience designing and integrating APIs for AI-powered systems
• Comfortable working across the stack — from prompt engineering to data layer to UI handoff

• Higher education (technical, IT, mathematical, economic).
• Strong knowledge of Python (C# will be an advantage).
• Experience working with Python libraries (Selenium, pandas, openpyxl, requests, Flask, etc.).
• Knowledge of SQL, API, Web Services, HTTP/FTP/RDP protocols.
• Understanding the principles of automation, testing, and debugging.
• Analytical thinking and the ability to effectively solve technical problems.