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abra R&D is seeking for a DevOps Engineer. We are looking for a hands-on DevOps Engineer to support R&D teams by developing and maintaining ML infrastructure, automation pipelines, and deployment environments. Key Responsibilities:
* Build and maintain CI/CD pipelines (GitLab, ClearML) and ML workflows
* Integrate Python applications, ML models, and Dockerized services into internal systems
* Automate data and model pipelines between CVAT, Daita, GitLab, and ClearML
* Provide infrastructure and server support, including installations and troubleshooting
* Collaborate with engineers to debug issues and streamline development environments

As a leading technology innovator, our company pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a our Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. our Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.

This position will be 5 days per week office based.
Principal Duties and Responsibilities:

Leverages advanced Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met.

Performs complex functional analysis to drive requirements and specifications and to define and align with standards for hardware and software.

Develops and analyzes complex system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system.

Collaborates with cross-functional teams (e.g., product management teams, engineering teams, etc.) to complete project work, including implementing and verifying the system.

Develops algorithms and works on new and innovative ideas (e.g. IDFs) for a product or feature area.

Drives triage of complex problems at the system level to determine root cause and presents results of testing and debugging to internal and external stakeholders.