Principal Machine Learning Engineer at Global Leader

Drive innovation in AI as a Principal Machine Learning Engineer with a global networking leader. Lead the development of cutting-edge multi-agent systems utilizing advanced machine learning techniques.

In this pivotal role, you will influence the technical vision for machine learning solutions and guide teams in designing scalable architectures. Collaborate on software development from the initial design through deployment, mentoring fellow engineers along the way, and ensuring high operational standards. Your leadership will pave the way for implementing real-time inference systems and maintain a culture of excellence.

Key Responsibilities:

• Define technical vision for ML solutions across platforms

• Oversee end-to-end software development lifecycle

• Architect high-performance, scalable microservices

• Build real-time inference pipelines for complex models

• Mentor engineers and set the technical direction

Requirements:

• Degree in Computer Science, Mathematics, or related field

• 5–10 years in software development lifecycle

• 5–10 years of Python expertise

• Strong experience designing RESTful APIs

• Proficiency with Docker, Kubernetes, and CI/CD

Shape the future of AI and enhance network management solutions.
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