Remote ML Engineer

Description:

• Teramind is a hybrid, global workforce focused on building the next-generation Insider Risk Management and User Behavior Analytics platform.
• The company aims to redefine insider risk management through innovative technology, serving over 10,000 organizations worldwide.
• The role of ML Engineer involves reshaping how insights are delivered and surfaced 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 and related technologies.
• 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 programming skills in languages such as Python, Java, Scala, and C++ are essential, 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 that reflects a global market focus.
• 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.