onsite
AI / ML Engineer - Operational Intelligence & Predictive Analytics
ML Engineer
Lead the design and deployment of predictive models and data pipelines for cybersecurity operational intelligence, leveraging Python, machine learning, and advanced feature engineering to deliver actionable insights and robust data governance.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines that ingest, cleanse, and transform large cybersecurity datasets.
- Engineer high‑quality features and build predictive models to detect anomalies, forecast threats, and support operational decision‑making.
- Implement data governance practices, ensuring data quality, lineage, and compliance across all analytics workflows.
- Collaborate with data scientists, security analysts, and product teams to translate business requirements into scalable ML solutions.
- Deploy models into production environments, monitor performance, and iterate for continuous improvement.
Requirements
- Proven experience in Python and machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
- Strong background in data engineering, ETL, and feature engineering for large‑scale datasets.
- Hands‑on experience with data visualization tools (Tableau, Power BI, or similar).
- Knowledge of cybersecurity concepts and threat intelligence data.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
Skills
pythonmachine learning