3 months ago

Machine Learning Engineer (Madrid, ES)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Machine Learning Engineer to join Bull’s R&D team, developing ML/DL models for infrastructure monitoring, reliability, and cybersecurity in HPC environments. Responsibilities include building data pipelines from telemetry, validating models, and deploying scalable inference services in a Kubernetes platform, with Agile/Scrum collaboration and cross-team translation of operational challenges into data-driven solutions.

Location: Madrid

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement ML/DL models to predict hardware failures and detect anomalies in HPC systems.
•Apply time-series forecasting, anomaly detection, and predictive maintenance using large-scale monitoring data.
•Build and maintain data pipelines from infrastructure telemetry and logs.
•Validate models for robustness and production readiness; ensure reproducibility.
•Deploy and operationalize models within a Kubernetes-based environment with scalable inference services.

Key Requirements

•Strong experience with ML and DL frameworks (TensorFlow, PyTorch, Scikit-learn)
•Experience with time-series data and anomaly detection
•Proficiency in Python and data science ecosystem
•Experience with Prometheus or similar monitoring/telemetry systems
•Familiarity with Kubernetes and container orchestration

Experience:High-performance computingAIData science

Education:Master's

Skills:AgileTeamworkProblem-solving

Tech Stack:TensorFlowPyTorchScikit-learnPythonPrometheusKubernetesGitLinuxInfiniband

Company Brief

Atos

Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bezons, France

Founded: 1997

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Atos

3 months ago

Machine Learning Engineer (Madrid, ES)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement ML/DL models to predict hardware failures and detect anomalies in HPC systems.
•Apply time-series forecasting, anomaly detection, and predictive maintenance using large-scale monitoring data.
•Build and maintain data pipelines from infrastructure telemetry and logs.
•Validate models for robustness and production readiness; ensure reproducibility.
•Deploy and operationalize models within a Kubernetes-based environment with scalable inference services.

Key Requirements

•Strong experience with ML and DL frameworks (TensorFlow, PyTorch, Scikit-learn)
•Experience with time-series data and anomaly detection
•Proficiency in Python and data science ecosystem
•Experience with Prometheus or similar monitoring/telemetry systems
•Familiarity with Kubernetes and container orchestration

Experience:High-performance computingAIData science

Education:Master's

Skills:AgileTeamworkProblem-solving

Tech Stack:TensorFlowPyTorchScikit-learnPythonPrometheusKubernetesGitLinuxInfiniband

Company Brief

Atos

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bezons, France

Founded: 1997

Website LinkedIn