Senior Machine Learning Engineer

About the role

Join a leading Industrial IoT solutions provider as a Senior Machine Learning Engineer. You will own end‑to‑end ML solutions that turn real‑time sensor telemetry into actionable insights, helping customers run safer and more efficient operations worldwide.

Key responsibilities

• Define, design, and deliver machine‑learning projects from problem framing to production deployment.
• Translate business objectives into forecasting, classification and anomaly‑detection models for time‑series sensor data.
• Build and maintain data pipelines, monitoring, drift detection and model retraining processes.
• Make technical decisions, write production‑grade code, and mentor peers through code reviews.
• Leverage AI‑assisted coding tools (Claude Code, Copilot, Cursor) while ensuring code quality and compliance with the company’s AI Handbook.
• Contribute to MLOps best practices and continuously improve the team’s ways of working.

Required profile

• Bachelor’s degree in Computer Science, Data Science, Engineering or a related quantitative field, or equivalent experience.
• 5+ years of experience in machine‑learning engineering or a closely related software‑engineering role, with hands‑on production deployment experience.
• Proven ability to work independently and collaborate in a hybrid, remote‑friendly environment.

Required skills

• Machine Learning model development and deployment.
• MLOps and data‑pipeline engineering.
• Experience with AI‑assisted coding tools such as Claude Code, GitHub Copilot, or Cursor.
• Time‑series forecasting, classification and anomaly detection.
• Understanding of sensor data challenges (gaps, drift, scarce labels).