AI​/ML DevOps Engineer – Automation & Telecom

Must Have's:
Python Automation

AI/ML experience

Nokia Redhat OCP

Required

Skills & Experience:

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.
AI/ML Expertise:
Some 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

Preferred

Skills & Experience:

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 Redhat openshift 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.