DevOps Engineer

What are the top 3 skills required for this role?

• AI/ML Expertise:
  Strong foundation in artificial intelligence and machine learning, with hands‑on experience building AI agents or models (e.g. NLP assistants, predictive algorithms) and deploying them in production.
• Automation Proficiency:
  Proven ability to design and implement automation solutions – adept in scripting and programming (Python or similar), API integration, and using automation frameworks or tools to connect systems and streamline processes.
• AI Integration:
  Experience integrating AI components into existing software or IT environments, ensuring compatibility and robust performance in real‑world scenarios.
• Security Awareness:
  Solid understanding of AI security and data privacy best practices. Able to incorporate encryption, data protection, and ethical AI considerations into development and deployment.
• Independent Problem‑Solving:
  Self‑driven and resourceful, capable of working autonomously to troubleshoot complex problems and drive projects to completion without close supervision.
• Collaboration & Communication:
  Excellent teamwork skills with the ability to communicate effectively across technical and non‑technical teams, ensuring alignment and shared understanding of project goals.

• Telecom Industry Knowledge:
  Familiarity with telecom networks or IMS (IP Multimedia Subsystem) environments is a plus. Experience with Nokia IMS network elements or similar telecom systems is advantageous.
• Domain
  
  Experience:
  
  Previous work in telecommunications, network automation, or related industry experience can be beneficial. Experience with Red Hat Open Shift deployments and automation is a plus.
• Continuous Learning:
  Demonstrated enthusiasm for staying up-to-date with the latest AI/ML technologies, automation tools, and industry best practices.