Big Data and AI Infrastructure Specialist

Education:
- Higher technical education.
- Master's degree in information technology will be an advantage.
Professional experience:
- At least 3 years of experience in the technical field.
- Experience in projects to implement high-performance computing solutions.
- Experience in writing design and technical documentation (technical specifications, feasibility study).
- Knowledge and understanding of the operation of data storage systems;
- Understanding of data security and personal information protection principles.
- Experience in technical operation and support of hypervisors by type (vmware esxi, open stack,proxmox)
Technical skills (Preferred):
- Knowledge of programming languages such as Python, Go.
- Understanding the concept of ETL – ELT data upload and download
- Experience with database management systems (SQL, NoSQL).
- Experience in operating cloud platforms (AWS, Google Cloud, Azure), in particular AI tools.
Analytical skills:
- Ability to analyze data.
- Experience interacting with various government agencies and agencies, private companies.
Personal qualities:
- Highly motivated and committed to continuous learning and development in the field of AI.
- Ability to work in a team and communicate effectively with colleagues.
- Creative approach to problem solving and out-of-the-box thinking.
- Ability to work under multi-tasking and tight deadlines.
Professional certificates (Preferred):
- AI and machine learning certifications such as AWS Certified Machine Learning – Specialty, AWS AI Practitioner, and more.
Additional requirements:
- Understanding of the ethical and legal issues associated with the development and use of AI.
- Experience with tools for project management and teamwork (JIRA, Confluence, etc.).
- Public speaking and negotiation skills.

- Design and development of infrastructure for storing and processing Big Data.
- Ensuring the integration of data from various sources for subsequent analysis and processing using AI.
- Support and optimization of Big Data management systems and AI infrastructure.
- Development of solutions for scalable and efficient data storage and analysis.
- Ensuring data security and protecting information in AI infrastructure.
- Implementation of advanced technologies and tools for working with Big Data and AI.
- Monitoring and supporting the operation of the AI infrastructure, ensuring its stability and availability.

For more detailed information please call this number +998971177055 @digital_recruitment