Working as a software engineer in a cross-domain machine learning and engineering team, you will help design and build the machine learning platform that supports both the research and the delivery machine learning teams in their endeavor to ship ever better machine learning models at increasing paces.
This platform will slowly open to less and less technical users to allow them to interact with the machine learning process which is at the core of the Scortex Quality Inspection Solution.
You will :
handle complex and high throughput data flows
help design and implement the software library built to support and automate machine learning tasks
work on the deployment, logging and monitoring of machine learning models in production
build, improve and maintain the tooling made available to the users of the platform (command-line tools, web tools, )
design, populate and maintain MongoDB / PostgreSQL databases
build and maintain APIs to integrate the machine learning business logic to the Scortex software ecosystem
help integrate existing external tools
Hands-on experience with Python 3
Software engineering / architecture experience
Database management and usage experience
Strong organizational, problem-solving and communication skills
Strong algorithm complexity knowledge
Parallel system and algorithm experience
Interest for Machine Learning
Experience in building a multi-user, multi-developer library
Pragmatism when considering a new tool or software design
Fullstack skills would be a plus
Knowledge of the data engineering ecosystem is a plus
You’re passionate and always up to date with new tools and practices, and are willing to improve the whole ecosystem you’re evolving in.