Job Description

Key Responsibilites

  • 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

Key Requirements

  • Bachelor's/Master's in Computer...

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