Description:

Teramind is seeking a Senior Machine Learning Engineer to build and deploy production-ready machine learning systems that enhance their Insider Risk Management and User Behavior Analytics platform.
The role involves converting advanced data science models into scalable and efficient code capable of processing vast amounts of user activity data in real-time.
Daily responsibilities include implementing and optimizing machine learning models for production, designing robust data processing pipelines for real-time anomaly detection, and developing systems for monitoring model performance.
The engineer will create infrastructure for ongoing model training and refinement, collaborate with data scientists to implement algorithms, and work with software engineers to integrate machine learning capabilities into the platform.

Requirements:

Candidates must have 5+ years of hands-on experience in implementing and scaling production machine learning systems.
Strong software engineering skills with a focus on machine learning implementation and optimization are required.
Proficiency with popular machine learning frameworks and tools, such as TensorFlow and PyTorch, is necessary for model development.
An understanding of distributed computing principles and experience with real-time data processing architectures is essential.
Experience in deploying systems for efficient batch processing and online ETL (Extract, Transform, Load) is required.
Familiarity with model optimization techniques and performance tuning is necessary to ensure efficient operation.
Experience with machine learning applications focused on security is a plus and will be highly regarded.

The position offers a competitive salary with a focus on a global market.
There are career-growth opportunities available for employees.
Flexible Time Off and Paid Time Off benefits are provided.
Ongoing training and development opportunities are available to support employee growth.