Company Description
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.
Job Description
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:
Maintain existing functionality, assist in design and development new features for the key ML/AI system components:
Content Extractor.
Rule Engine.
Data processing pipelines.
Ensure resilient and highly available ML/AI systems including the smooth operation of production and development environments, deployments and general operations for ML/AI within the Marketing Compliance related areas of IntelligenceBank.
Assist in the design and documentation of system architectures for existing and future projects.
Active participation in Agile ceremonies such as Stand-up, Retrospectives and Planning Sessions for the ML/AI roadmap.
Qualifications
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:
Expert level Python and software design skills.
Advocate for test automation (not necessarily coverage) and code health.
Experience with AWS and GCP platforms.
Experience with MLOps processes and tooling and a passion for increasing MLOps maturity.
Computer Vision; eg. YOLO
Natural Language Processing;
Generative AI: eg. prompt engineering for NLP and CV tasks including running comparative evaluations.
Additional Information
Next Steps:
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!
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