DevOps Engineer – AI/ML (Slackware)

Job Title: DevOps Engineer – AI/ML (Slackware)

Location: Remote

Experience: 3–7 years (flexible based on role level)

Role Overview

We’re looking for a DevOps Engineer with strong experience in AI/ML infrastructure and a solid understanding of Slackware-based Linux systems. This role focuses on building, deploying, and maintaining scalable, reliable environments for machine learning workflows and data pipelines.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for AI/ML applications
• Manage and optimize infrastructure for model training, testing, and deployment
• Work with data scientists and ML engineers to streamline model lifecycle (training → deployment → monitoring)
• Maintain and customize Slackware-based systems for performance and stability
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools
• Monitor system performance, reliability, and security across environments
• Implement containerization and orchestration solutions (Docker, Kubernetes)
• Ensure reproducibility and scalability of ML experiments
• Troubleshoot system, networking, and deployment issues

Required Skills & Qualifications

• Strong experience with Linux systems (Slackware preferred or similar distros)
• Hands-on experience with DevOps tools (Jenkins, GitLab CI/CD, etc.)
• Proficiency in scripting (Bash, Python)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure)
• Understanding of ML workflows and tools (TensorFlow, PyTorch, MLflow, etc.)
• Knowledge of version control systems (Git)
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK stack)

Preferred Qualifications

• Experience working in AI/ML production environments
• Knowledge of GPU-based workloads and optimization
• Familiarity with data pipelines (Airflow, Kafka, etc.)
• Experience managing custom Linux distributions like Slackware
• Understanding of security best practices in DevOps

Soft Skills

• Strong problem-solving mindset
• Ability to work cross-functionally with engineering and data teams
• Good communication and documentation skills

Nice to Have

• Experience with MLOps frameworks
• Exposure to edge AI or on-prem deployments
• Contributions to open-source projects