We believe that AI systems should be designed to bring broad benefits to people. AI is a powerful technology that can deliver insights, efficiency, savings and speed to diverse human activities and can give rise to wholly new capabilities. But with its potential comes with the risk of unintended consequences, and thus deploying AI systems should in a way that accounts for human values.
A central and practical outworking of this is our company policy to refrain from the use of biometric technologies (such as facial recognition) in our solutions. Lauretta's systems are anonymous by design and focus on understanding what is happening, rather than who is present.
The role
Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline
Works with data and software engineering team to integrate models into pipeline
Support construction and iteration of product prototypes
Support data pipeline engineering and automation
Stay up to date with state of the art developments in computer vision tasks
Other duties as required by supervisors
Additional Requirements
Experience working in MLOps and building pipelines for deploying ML models
Programming skills in Python, C/C++ or Javascript
Understanding of machine learning and deep learning fundamentals
Develop internal tooling as needed to support ML efforts
Production deployment and performance monitoring including code refactoring and optimization as needed
Support infrastructure engineering, security engineering, and architecture
Willing to learn and work well in a cross functional team environment
Fresh graduates are welcome to apply on a full-time basis.