AI Ops Research Engineer-Mid -Level
Core
Conduct applied research and experimentation to identify and advance emerging AI capabilities for Application and Infrastructure Operations, translating trends into prototypes and recommendations.
Role type
Mid-level AI Operations Research Engineer
Builds
Prototypes and evidence-based recommendations for operational efficiency and reliability
Domain
AI/ML, Generative AI, AIOps, Infrastructure Operations
Deliverable
research
Required skills
Applied research, AI/ML, Python, experimental design, statistical analysis, generative AI, LLM concepts, AI governance
Preferred skills
AIOps, observability, PyTorch, TensorFlow, scikit-learn, generative AI prototyping, AI evaluation frameworks, regulated environment experience
Technologies
PyTorch, TensorFlow, scikit-learn, Dynatrace, BigPanda, Moogsoft, OpenTelemetry, Prometheus, Grafana
Responsibilities
Research emerging AI and industry trends; Translate challenges into research hypotheses and prototypes; Evaluate ML and generative AI for operational use cases; Develop evaluation and testing methods; Translate validated research into technical recommendations; Communicate findings to stakeholders
Seniority
Mid-level, hands-on IC
