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Senior ML Architect-Scientist, Telemetry and Log Analytics

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Dell

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Location:
Ireland , Cork

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Category:
IT - Software Development

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Salary:

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Job Description:

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Job Responsibility:

  • Own the end‑to‑end modelling strategy and analytic architecture for telemetry/log analytics, from problem framing to deployment, ensuring solutions are robust, scalable, observable, and aligned with product and platform needs
  • Design and specify models for time‑series and event logs including anomaly detection, forecasting, change‑point detection, pattern mining, correlation analysis, root‑cause analysis (RCA), and NLP for unstructured logs
  • Define requirements and architectural patterns for batch and real‑time streaming analytics (e.g., data contracts, schemas/ontologies for metrics/logs/traces, feature stores, and model serving patterns), collaborating with data and platform engineering for implementation
  • Stay current with the latest ML, time‑series, and observability advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
  • Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers

Requirements:

  • 10+ years’ experience of applied science or complex software systems, especially involving machine learning and analytic architecture, with production impact on telemetry/log or observability data
  • Proven expertise across relevant modelling techniques: anomaly detection, forecasting, change‑point detection, pattern mining, correlation analysis, root‑cause analysis, and NLP for logs (template mining, embeddings, topic modelling, classification)
  • Strong proficiency in Python, SQL and ETL pipelines (Airflow preferred), with deep knowledge of feature engineering for time‑series and event data, statistical validation, and experimental design
  • Familiarity with observability ecosystems (e.g., ELK/Elastic, Splunk, Azure Monitor, Datadog, Grafana/Loki, OpenTelemetry) and how to model, index, and query logs/metrics/traces for ML use cases
  • Practical leadership in model governance and MLOps standards (data/model versioning, evaluation & monitoring specifications, drift detection requirements, documentation and model risk considerations), with an emphasis on definition and oversight rather than hands‑on pipeline implementation

Nice to have:

  • PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
  • Experience with advanced methods relevant to telemetry/logs, such as:State‑space models, ARIMA/ARIMAX/Prophet, gradient‑boosted trees and ensembles for forecastingAnomaly detection and seasonality/trend decompositionCausal inference and discovery to support RCA and intervention designTime‑series representation and feature extraction, sequence mining and clustering/segmentationExposure to deep learning for sequences/time‑series for complex patterns and multivariate dependencies
  • Demonstrated ability to define SLO/SLI‑aware ML for observability, influence platform and data architecture, and collaborate closely with SRE/Platform/Support functions
  • Publications, patents, or open‑source contributions
  • recognition as a thought leader in ML, analytics, observability, or reliability engineering
What we offer:
  • Comprehensive Healthcare Programs
  • Award Winning Financial Wellness Tools and Resources
  • Generous Leave of Absence for New Parents and Caregivers
  • Industry Leading Wellness Platform
  • Employee Assistance Program

Additional Information:

Job Posted:
April 16, 2026

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