AIOps Engineer, SRE with AI/ML
- Fuge Technologies Inc.
Required Skills: Machine Learning & AI Frameworks, TensorFlow, PyTorch, scikit-learn, Splunk, DevOps, SRE background Prometheus, Grafana, ELK Stack, Python, Bash, Ansible
Job Description
Location: Frisco, TX – Onsite
Contract Type: W2
Experience: 10+ Years
We are seeking an AIOps Engineer experienced in Site Reliability Engineering (SRE) and AI/ML implementation. You will integrate machine learning into monitoring and observability systems to build proactive, self-healing operational capabilities.
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Apply machine learning to operational data to predict and prevent system failures.
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Automate DevOps practices including scaling, optimization, and controlled restarts.
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Develop anomaly detection and self-healing frameworks.
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Collaborate with SRE, development, and infrastructure teams to improve reliability.
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Build AI-driven dashboards and reports to provide actionable insights.
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Machine Learning & AI Frameworks (TensorFlow, PyTorch, scikit-learn)
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Monitoring & Observability Tools (Splunk, Prometheus, Grafana, ELK Stack)
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Automation & Scripting (Python, Bash, Ansible)
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DevOps / SRE background
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Product Owner experience
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Containerization (Docker, Kubernetes)
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8+ years of experience in machine learning
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5+ years working with AI frameworks and observability tools
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Strong cloud infrastructure knowledge
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Proven experience with self-healing systems and proactive monitoring
An experienced SRE with hands-on expertise in implementing AI/ML solutions to drive automation, observability, and operational excellence.
