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Krisvconsulting Services

Singapore / Global

Data & AI Operations Engineer.

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 Science or related field

1–2 years' experience with Python, SQL, Spark, Docker/Kubernetes, Git, pytest

Exposure to MLOps/GenAI Ops tools, ML/GenAI projects, or open-source contributions

Familiarity with monitoring stacks (Prometheus, Grafana, OpenTelemetry)

Hands-on with cloud ML services (Databricks, Azure ML, etc.)

Curious, proactive, collaborative, and impact-driven

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