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Description:
Teramind is a hybrid, global workforce focused on building the next-generation Insider Risk Management and User Behavior Analytics platform.
The company has over 10,000 organizations worldwide using its software to mitigate insider threats and protect sensitive data.
The team embraces an inclusive and flexible work environment, promoting collaboration and respect while delivering top-notch security solutions.
The role of Machine Learning Engineer involves reshaping how insights are delivered in the platform, particularly in Insider Threat Detection.
Responsibilities include designing and developing advanced algorithms for human detection, identification, tracking, and sentiment analysis using computer vision techniques.
The engineer will assist in testing and validating AI functionalities in controlled scenarios and must stay updated with the latest developments in AI.
Effective communication of complex technical details to a diverse team is essential.
Requirements:
Candidates must have hands-on experience of at least 2 years in designing, building, and maintaining scalable data pipelines with a focus on ML Vision.
Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GraphicsMagick, FFmpeg, OpenCV, and SimpleCV is required.
Experience with modern deep learning techniques in computer vision, including convolutional networks, residual networks, and attentional models, is necessary.
Strong proficiency in programming languages such as Python, Java, Scala, and C++ is required, along with hands-on experience in building distributed systems and streaming applications.
Candidates should have experience analyzing and evaluating state-of-the-art algorithms related to detection from both academic and industrial research, and implementing and enhancing them in a production environment.
Benefits:
This position is fully remote, allowing employees to work from anywhere.
Teramind offers a competitive salary with a focus on the global market.
There are career-growth opportunities available within the company.
Employees benefit from Flexible Time Off and Paid Time Off policies.
Ongoing training and development opportunities are provided to support employee growth.