You will lead the 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 and GenAI research.
Responsibilities:
- Lead a team of Software/DevOps engineers and data annotators
- Design and manage the process of annotated data generation for training and testing AI models including development of techniques for pre-processing videos, semi-automatic annotation, and generation of synthetic data, as well as supervising third-party contractors in this field
- Participate in defining the way our data is stored, consumed, manipulated, integrated, and managed as part of the Deep Learning R&D process
- Oversee our hardware and software infrastructure
- Manage and enhance the capabilities of our CI/CD and monitoring systems
- 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:
- Experience of at least 3+ years as a software/DevOps team leader
- Hands-on DevOps experience: Groovy, Jenkins, GitHub Actions, Git, Dockers
- Experience with databases
- Proficiency 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
