SENIOR MACHINE LEARNING ENGINEER
Descripción de la oferta de empleo
oin our team of innovators who are redefining insider risk management through cutting-edge technology.
More than organizations across the globe have used' Teramind to mitigate insider threats and protect their sensitive company data with the most robust, enterprise-grade software on the market.
s a global team, Teramind embraces an inclusive and flexible work environment and team culture.
We win together, learn from each other and respect each other while delivering best-in-class security solutions.
bout the roleWe are looking for a Senior Machine Learning Engineer to help us build and deploy production-ready machine learning systems that drive key features on our platform.
In this role, you'll convert advanced data science models into scalable and efficient code capable of processing vast amounts of user activity data in real-time.
If you’re passionate about leveraging machine learning to create impactful solutions, we want to hear from you! Your day-to-day Model Implementation.
Implement and optimize machine learning models for production environments, ensuring they meet scalability and reliability standards.
Data Pipeline Development.
Design and build robust data processing pipelines for real-time anomaly detection, enhancing our capability to respond to user behavior dynamically.
Model Monitoring.
Develop comprehensive systems for monitoring model performance and effectiveness, allowing for quick adjustments and improvements.
Continuous Improvement.
Create infrastructure for ongoing model training and refinement to adapt to new data and evolving user needs.
Collaborative Execution.
Work closely with data scientists to efficiently implement algorithms, ensuring alignment with our overall system architecture.
Integration Efforts.
Collaborate with software engineers to seamlessly integrate machine learning capabilities into our platform, enhancing user experience and functionality.
Detalles de la oferta
- Teramind
- En todo México
- Sin especificar - Sin especificar
- 26/03/2025
- 24/06/2025
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