Data Management Specialist in DATAHAB. AI, TOV

Keymakr partner company is looking for a data management specialist.  

Keymakr specializes in end-to-end dataset preparation, including video and image annotation and labeling for AI projects. Takes a personalized approach, offering individual solutions tailored to each client's needs.

A strong in-house research and development team develops and adapts annotation tools for each client, allowing them to successfully handle even the most complex requirements.

Use cases:

Unmanned vehicles, facial recognition and security, medical annotation, drones, robotics and many more industries based on artificial intelligence.

About the job:

Keymakr is looking for a data management specialist to manage, process and maintain large volumes of data and media assets used in artificial intelligence and technology projects.
This position focuses on ensuring data integrity, consistency and availability, and optimizing work processes through automation and close collaboration with cross-functional teams.

Responsibilities:

1. Data management and manipulation using Linux file systems and native OS tools;
2. Work with media files, including video formats, codecs, resolutions and frame rates (FPS);
3. Data integrity check using checksum and verification tools;
4. Effective packing and unpacking of large data archives;
5. Automation of data-related workflows using scripting languages;
6. Preparation, structuring and maintenance of data sets in structured formats;
7. Support for cloud data storage and performing data migration;
8. Collaborate with design, QA and technical teams to ensure seamless data experience;
9. Clear and consistent documentation of workflows, processes and task updates.

Skills:

1. Deep knowledge of file systems and Linux administration (Ubuntu/Debian, 2+ years);
2. Experience in Windows OS administration;
3. Knowledge of Python and Bash/Shell scripts;
4. Experience with archive management tools for large data sets;
5. Knowledge of checksum verification tools (md5sum, sha256sum);
6. Tools for checking video properties, codecs and formats;
7. Deep knowledge of JSON and CSV formats;
8. Experience with cloud storage platforms: AWS S3, Google Cloud Storage or Azure;
9. Familiarity with JIRA, Slack, Confluence and Google Docs.

Will be an advantage:

1. Experience working with point clouds / 3D data;
2. Deep understanding of complex technical specifications;
3. Experience working with large-scale datasets;
4. English language and communication;
5. English language level B2 (Upper-Intermediate) or higher;
6. Ability to read and understand technical documentation and project requirements;
7. Clear written communication in English (reports, updates, documentation);
8. Participation in English speaking meetingsin those languages ​​as needed.

Additional conditions:

• Establishing conditions of cooperation in any format: remote, in-office or hybrid.

• Change of emphasis towards deep technical expertise or business results”