Job Description for AI ML developer in Sydney.

Lead brainstorming sessions to develop potential solutions for business needs or problems
Find the best tech solution to solve existing business problems.
Provide specifications according to which the solution is defined, managed, and delivered
Identify opportunities for process improvements
Define features, development phases, and solution requirements.
Supervised, Unsupervised and reinforcement learning Using Python
Set-up, maintenance, and ongoing development of continuous build/ integration infrastructure
(CI/CD)

Experience with different NoSQL and SQL, graph databases
Image and Audio Classification with TensorFlow, scikit-learn
Configuration of Watson Explorer crawl and Watson AppBuilder development using XSLT and
Ruby
Entity Extraction from unstructured data like PDF
Text Similarities and Summarization with Python
Image processing with Open-CV, Pillow
Classification Model training with TensorFlow
Design Analytics dashboard with Power BI and create CI/CD pipeline with MS flow
Created custom ML models and hosted on AWS, Azure or IBM Watson
Used different AI/ML services like AWS Sagemaker, Azure ML, Watson Studio, Watson
Knowledge Studio
Smart Document Understanding with IBM Watson
Power shell programming for monitoring server resources
Metadata extraction from scanned PDF
Managing project Constraints, Dependencies & Issues.
Conducted system test for interfaces and component programs
Assisted in UAT and prepared go-live readiness
Proof of concept for different AI use cases
Prepare and document testing requirements.
budget management
Monitoring of IBM Watson cloud usage