DevOps Engineer with AI Integration Skills

As a DevOps Engineer with AI Integration Skills, you will collaborate with various streams of implementation projects and agile team members to achieve project and client goals. You will use advanced technology stacks and participate in international projects based on the latest data technologies and cloud platforms.

• Bachelor's degree in Engineering, IT, Science, or other Technical qualification.
• Demonstrable experience with DevOps tools and frameworks commonly used in AI/ML workflows.
• 5+ years in a corporate IT environment in a related position.
• Strong communication skills and ability to collaborate with global teams.

Ideally, you’ll also have:

• Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty).
• Experience working with AIOps platforms to enhance operational efficiency.
• Knowledge of specialized data pipeline automation tools designed for machine learning contexts.
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn, especially in production environments.

• Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks.
• Collaborate with AI teams to deploy and scale machine learning models into production environments.
• Integrate AI-based monitoring, alerting, and analytics tools to enhance pipeline visibility and enable predictive analysis.
• Optimize infrastructure resource utilization for AI applications across cloud, on-premises, or hybrid environments.
• Ensure robust security practices within AI-driven pipeline ecosystems.
• Troubleshoot pipeline and infrastructure issues involving AI components and guarantee high availability.
• Monitor system performance and implement improvements using AI-enhanced tools.