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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

Software Engineer, Infrastructure

Milestone Systems, Inc.

תל אביב - יפו

Software Engineer, Infrastructure

Milestone Systems, Inc.

תל אביב - יפו
מלאה
25,000-35,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

You will be part of a team that defines and implements the standards of Briefcam's data infrastructure and data automation methods, from data collection, through MLOps pipelines, to models' accuracy monitoring. You will work alongside researchers in the field of Computer Vision for video analytics and act as a key enabler of our Deep Learning research.

Responsibilities:

Learn, use, optimize, and develop advanced MLOps technologies, distributed systems, Docker, Jenkins, etc.
Support the process of annotated data generation for training and testing AI models including development of algorithms for pre-processing videos, semi-automatic annotation, and generation of synthetic data
Participate in defining the way our data is stored, consumed, manipulated, integrated, and managed as part of the deep learning R&D process
Develop end-to-end evaluation procedures for new algorithmic features and integrate them with CI/CD tools for constant monitoring
Develop various tools for supporting the research team
Identify and evaluate new and emerging technologies that may drive improved efficiency and value to the data-driven algorithms developed by the research team

Requirements:

+5 years of software development experience
B.Sc. in Computer Science / Software Engineering or similar
Proficient in Python
Knowledge of Linux operating systems
Proven ability to communicate and work with multiple stakeholders
Experience as a data/MLOps engineer – major advantage
Knowledge of Computer Vision and Deep Learning – advantage
Hands-on experience with Continuous Integration (CI) and/or QA automation with Jenkins or similar – advantage
Experience with visualization and analytical tools – advantage
Experience in designing and managing data annotation operations - advantage