Required skills and qualifications

• Master’s degree (top 5%) in Computer Engineering, Computer Science, or related technical field.
• Strong Linux systems knowledge and scripting abilities (e.g., Bash, Python).
• Solid experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Familiarity with Infrastructure-as-Code (e.g., Terraform, Ansible, Helm).
• Experience building CI/CD pipelines with tools like GitLab CI, GitHub Actions, Jenkins, or similar.
• Understanding of networking concepts, security best practices, and system monitoring (e.g., Prometheus, Grafana).
• Ability to work autonomously and collaboratively with cross-functional teams (MLOps,CV/NLP, software).

Desirable skills

• Experience with hybrid cloud/on-premises environments.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience managing GPU clusters and distributed computing environments.
• Proficiency with log management and incident analysis (e.g., ELK stack, Loki).
• Exposure to AI/ML toolchains and workflows (e.g., MLflow, Weights & Biases, Triton).
• Fluency in Python for tooling and automation.

We offer

• Full-time permanent contract.
• Competitive compensation and opportunities for technical leadership growth.
• Access to cutting-edge hardware and modern DevOps stacks.
• Mentorship and continuous learning in high-impact, production-grade AI systems.