Machine Learning Engineer - Remote

Overview

The Machine Learning Engineer at CybelAngel plays a crucial role in protecting businesses from digital threats by designing and implementing advanced machine learning algorithms to optimize data processing and security incident management.

In Short

• Design and implement Machine Learning algorithms.
• Research relevant ML algorithms.
• Conduct tests and experiments for ML models.
• Train and improve Machine Learning models.
• Collaborate with Data Scientists on best practices.
• Stay updated with the latest ML advancements.
• Work with a diverse tech stack including Python and SQL.
• Utilize MLOps tools like Docker and Kubernetes.
• Engage in projects focused on automatic retraining of models.
• Contribute to the mission of detecting sensitive data leaks.

Requirements

• Strong knowledge of Machine Learning concepts.
• Proficiency in Python and SQL.
• Experience with data processing libraries and frameworks.
• Familiarity with MLOps practices and tools.
• Ability to work in a hybrid environment.
• Commitment to ethical practices in cybersecurity.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team.

Benefits

• Opportunity to work in a hybrid office and remote environment.
• Engagement in cutting-edge cybersecurity projects.
• Collaborative and innovative work culture.
• Continuous learning and professional development.
• Work with a diverse and talented team.