Software Engineer - AI Engineer, Design and implement AI Agents, Python, Jupyter, ML libraries, Predictive models, Automation & Monitoring (5+ Yrs)

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python PyTorch Jupyter play TensorFlow

Job Description

Meet the Team

We are the Cloud Operations team within Cisco IT, responsible for developing and leading the infrastructure that powers Cisco’s global engineering and business functions. Our mission is to build scalable, efficient, and ground breaking infrastructure that supports the next generation of AI solutions. usinging automation, advanced hardware, and AI-optimized frameworks, we ensure seamless integration and future-ready services. We operate in a dynamic, collaborative culture that celebrates creative problem-solving and continuous innovation.


Your Impact

As an AI Engineer, you will play a pivotal role in optimizing our cloud infrastructure through artificial intelligence and machine learning. You will design and implement AI Agents to lead resource allocation, develop predictive models for system health, and automate complex operational workflows. By integrating AI-driven insights into our cloud monitoring tools, you will enhance system resilience, security, and cost-efficiency. You will collaborate closely with DevOps and SRE teams to deploy and maintain ML models in production, ensuring our infrastructure remains at the forefront of technological advancement.


Minimum Qualifications

  • Bachelors degree with min 4 years of work experince or Master’s degree in Computer Science, Data Science, or related technical field with 2 years experience.
  • Design and implement AI Agents for Infra optimisation.
  • Experience with Python, Jupyter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Develop predictive models for failure detection, incident management, and system health monitoring.
  • Automate operational workflows using machine learning and intelligent scripting.
  • Integrate AI-driven insights with existing cloud monitoring tools.
  • Collaborate with DevOps and SRE teams to deploy, monitor, and improve ML models in production environments.
  • Continuously evaluate emerging AI technologies and tools for operational improvements.


Preferred Qualifications

  • Develop and deploy Agentic AI solutions and ML models.
  • Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment.
  • Develop automated failure detection and remediation using AI and ML models


Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.


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