DevOps Consultant

DevOps Consultant for R&D in Deep Learning

For innovative R&D in AI, deep learning, and simulation, we are seeking a DevOps consultant with proven experience in designing and managing cloud infrastructure for developing and training AI models.

Job Description

• Supporting installation and execution of Deep Learning models on advanced NVIDIA GPU infrastructures.
• Managing and operating cloud services.
• Developing infrastructure for diverse Deep Learning teams.
• Training instructors (in the Software Engineering course and additional courses) to use DevOps tools (such as Azure DevOps).

Required Qualifications

• At least 2 years of experience managing cloud services for training Deep Learning models (user management, VMs, monitoring, optimization, security, etc.).
• Ability to train and implement DevOps usage in various courses.
• Full proficiency with Docker and Kubernetes (K8s).

Additional Desired Qualifications

• Familiarity with TensorFlow and PyTorch.
• Experience with advanced simulation systems (Gazebo, CARLA, Sionna, Quadriga).
• System-level thinking, service orientation, and independence.
• Experience in implementing DevOps systems.

Position Scope

External consultant (Part-Time / Project-Based) with the possibility of expanding to a full-time position.

Location

• Hybrid work with an option for fully remote cloud service management.