Machine Learning jobs in United States

• Build, maintain, and optimize data pipelines for collecting and processing security logs from multiple sources.
• Develop parsers and scripts (Python, Regex, etc.) to normalize and transform inconsistent log formats.
• Implement and maintain security data models within SIEM platforms (e.g., Splunk, Elastic, QRadar).
• Optimize log storage and data structures to improve performance and reduce cloud costs.
• Troubleshoot ingestion and parsing issues in collaboration with SOC and platform teams.
• Automate data transformations and routing pipelines for new and existing log sources.
• Document pipelines, data models, and ingestion processes for operational transparency.
• Collaborate with SOC analysts and threat intelligence teams to implement detection use cases.
• Leverage machine learning or scripting to enhance log parsing and anomaly detection.
• Support onboarding of new log sources and integration with cloud or on-premise SIEM solutions.

• Degree in Computer Science, Engineering, or related technical field.
• Hands‑on experience with Python, Regex, ETL, and log parsing/transformation pipelines.
• Familiarity with SIEM or log analytics platforms (Splunk, Elastic, QRadar, ArcSight) and security monitoring concepts.
• Knowledge of cloud platforms (AWS, Azure, GCP) and experience optimizing data pipelines for scalability and cost efficiency.

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