Found Description
Responsibilities
- Apply AI/ML/LLM tools to solve operational and reliability challenges
- Prototype and validate AI-driven improvements with measurable outcomes
- Operationalise successful AI use cases into scalable production systems
- Enhance observability, incident detection, and automation in operations
- Support end-to-end lifecycle of AIOps, MLOps, and LLMOps solutions
- Collaborate with engineers and ops teams to align solutions with business needs
- Stay ahead of emerging AI technologies and embed responsible AI practices
- Build prototypes and measure impact with clear metrics, analyze logs, metrics, and events to detect anomalies and automation opportunities.
- Deploy, monitor, and maintain ML/LLM solutions
- Automate repetitive tasks with scripts/workflows. Document solutions and lessons learned for reuse
- Bachelor's/Master's in Computer Science...
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