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Ai ml developer

Pyramid Global Technologies
Developer
Posted: 20 February
Offer description

Overview

Job Description for AI ML developer in Perth

Responsibilities
* 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
Qualifications
* Experience with ML/DL techniques including supervised, unsupervised, and reinforcement learning
* Proficiency in Python and ML frameworks (TensorFlow, scikit-learn)
* Experience with CI/CD and infrastructure concepts
* Experience with NoSQL/SQL and graph databases
* Experience with cloud platforms (AWS, Azure, IBM Watson) and related ML services
* Experience with data extraction and processing from unstructured sources (PDF, text)
* Familiarity with data visualization tools (Power BI)
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