Senior ML Engineer to develop Enterprise Analytical Platform.
The consultant is to help design and develop a new Analytical Platform.
Focus is on providing guidance and architectural input towards best practice Machine Learning Engineering/MLOps as well as hands-on deployment of the ML environment.
This means that the focus for the consultant is not Data Science/Model development, but Machine Learning model scaling, deployment automation, life-cycle management and monitoring. It is important that the person has demonstrated knowledge in enterprise enabling ML in larger organizations.
The Enterprise Analytical Platform is the umbrella under which analytical services wiill be enabled, ranging from standard analytics spanning across distributed computer and advanced statistical analysis, to building a self-service Machine Learning workbench to enable not only the development, but also the scaling, packaging, deployment, life-cycle management and monitoring of Machine Learning models.
The focus is on providing an infrastructure where the hard work of software integrations, access management and resource provisioning is taken care of.
A majority of the tools implemented are from the AWS tech-stack. Mandatory skills:
- ML (Machine Learning) Engineering
- Agile Development Methodologies
2 months + extension
Min. 5 years of professional IT experience.