Кадровое агентство «KIAT» — Минск, Беларусь
220020г. Минскпр-т. Победителей 18-2, Минск 220004, Беларусь
IT, High Tech
Тип занятости
Полный рабочий день


Digital assets based on blockchain technology are revolutionizing the future of finance.

The mission of the company is to democratize access to crypto assets to billions of people around the world in an easy, secure and compliant manner.

We are looking for a highly skilled AI Engineer to join our remote team.

You will be working closely with engineers, product owners and other stakeholders to design, develop & build data models and reports.


  • Lead AI/ML algorithm R&D work-group
  • Gathering, integrating, and transforming data from various sources into a data warehouse
  • Designing and implementing data models that facilitate efficient data storage, retrieval, and analysis
  • Managing the ETL/ELT processes to ensure data quality, accuracy, and consistency
  • Creating visually appealing and informative reports, dashboards, and data visualizations to enable data-driven decision-making
  • Optimizing data queries and database performance to ensure efficient data retrieval and analysis
  • Implementing and enforcing data governance policies, including data security, privacy, and compliance
  • Working closely with engineers, product owners and other stakeholders to understand their requirements and provide the necessary data infrastructure and tools
  • Identifying and resolving data-related issues, monitoring system performance, implementing data unit tests and ensuring data infrastructure reliability
  • Staying up-to-date with the latest technologies and trends in data analytics and engineering, and proactively suggesting improvements to enhance data processes and systems


  • A graduate degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or a similar quantitative field
  • 3+ years of experience in a similar role
  • Experience with AI/ML algorithm R&D
  • Design, build, and test machine learning pipelines from end-to-end
  • Hands-on experience with AI modeling tools and software, like TensorFlow, PyTorch, Langchain, etc.
  • Having programming skills in languages such as Python (and relevant libraries such as pandas, numpy) or R
  • Advanced SQL knowledge and experience with data warehousing concepts and tools
  • Strong communication skills to effectively collaborate with cross-functional teams and present complex findings to stakeholders - be able to translate business requirements into functional specifications and turn complex information into clear facts helping internal consumers interpret data to take action
  • Strong experience in analytics engineering, data engineering, or a similar role involving data integration, transformation, and analysis with exposure to multi-disciplinary data (Engineering, Accounting, Compliance, Customer Support, Marketing etc.) Ability to work comfortably in a git framework
  • Be experienced working with a variety of databases but have deep knowledge of at least one
  • Excellent organizational skills and problem-solving skills, with the ability to think analytically and strategically
  • Experience with coding language principles: logic, scripting, system configuration, scheduling and monitoring
  • Perform ad hoc analysis, and robust validation and triangulation of data
  • Ability to work in a fast-paced and rapidly evolving environment 

What Makes You Stand Out

  • Knowledge and experience with AI/ML algorithm development and dataset generation
  • Familiar with NLP, neural networks, deep learning or machine learning algorithms
  • Familiar with large-scale model training
  • Experience with Docker, Containerization, AWS services. Good to have experience with: Lambda, S3, EC2
  • Experience with Looker or with alternative visualization solutions like Qlik, Tableau or PowerBI
  • Experience with ETL/ELT solutions like Fivetran
  • Solid understanding of AI and machine learning principles and practical experience in implementing AI models and algorithms
  • Familiarity with the digital asset/cryptocurrency industry and related data sources
  • You’re business-driven - facilitating speed, accuracy, quality and a service attitude
  • You’re a self-starter and a quick learner