IntelligenceBank is the leading digital asset management and marketing operations platform for brands in regulated markets,. Used by over 800,000+ users in 55 countries, IntelligenceBank uses AI and automation to help ensure brands get to market quickly, stay on brand and ensure regulatory compliance. Our headquarters are in Melbourne, Australia and we've offices across the US, Canada and the UK. 

IntelligenceBank is changing the way legal risk detection for digital advertising and marketing content is being delivered. Focusing on compliance outcomes and cost optimisation, our patented Legal Tech Software as a Service platform enables real-time probabilistic risk identification in marketing and web content using machine learning rules and natural language processing.

We’re looking for an experienced Machine Learning Data Engineer with expertise in Python, ML/AI system development, and MLOps. In this role you'll apply data-driven decisions and high code quality to enhance and maintain core ML systems, including data processing pipelines, a rule engine, and a content extractor. 

Day to day:

We're looking for someone who likes to stay current in State of the Art in main AI/ML spheres. A team player who excels at providing technical guidance, documenting architectures, and contributing new ideas to drive business in the Marketing Compliance vertical and broader areas of Digital Asset Management and Marketing Workflow Management.

If you've got the following skills and experience we'd love to hear from you:

Once you’ve applied, your application will be reviewed by one of our team and you’ll be updated by phone or email regarding its status. 

Our application process includes phone screening, face to face interviews covering behavioural and practical questions that address our values as well as the requirements of the role you’ve applied for and, finally, references and criminal history checks. 

So apply now and we look forward to getting to learn more about you!