AIOps Platform Engineer: GenAI + Observability in Cloud

Realtime Recruitment; Plano (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology recruitment firm in Plano, TX is seeking an AIOps Platform Engineer with expertise in machine learning and cloud engineering. The ideal candidate will design and scale observability solutions using advanced ML technologies. Responsibilities include developing algorithms, integrating observability tools, and applying MLOps practices. Candidates should have 5–8+ years of experience in ML and cloud environments. This role is full-time and mid-senior level.

Qualifications

• 5–8+ years of experience in ML, cloud infrastructure, and observability.
• Strong experience with machine learning for observability.
• Familiarity with Git, Agile practices, and modern testing frameworks.

Responsibilities

• Design, develop, and deploy ML algorithms and GenAI integrations for observability data.
• Implement LLM-based solutions, including prompt engineering and fine-tuning.
• Collaborate cross-functionally to operationalize AI/ML capabilities into observability workflows.

Skills

Machine learning for observability

Time series forecasting

Anomaly detection

Event classification

Python

TensorFlow

Google Cloud Platform

Microsoft Azure

Git

Agile practices

Tools

TensorFlow

PyTorch

scikit-learn

Prometheus

Grafana

Elasticsearch

SQL/NoSQL DBs

Job description

A technology recruitment firm in Plano, TX is seeking an AIOps Platform Engineer with expertise in machine learning and cloud engineering. The ideal candidate will design and scale observability solutions using advanced ML technologies. Responsibilities include developing algorithms, integrating observability tools, and applying MLOps practices. Candidates should have 5–8+ years of experience in ML and cloud environments. This role is full-time and mid-senior level.