projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection to model building and data analytics. Experience with machine learning model deployment and monitoring. Strong Hadoop, Spark) Machine learning frameworks (e.g., TensorFlow, PyTorch) Data visualization tools (e.g., Tableau
leveraging Microsoft Azure and cutting-edge development tools to create bespoke software solutions that drive (Bonus): Securing web applications Dependency Injection, IOC Test driven development IIS RESTFul Web Services especially) JQuery CSS2 and CSS3 Debug tools such as Firebug / Chrome Dev Tools Cross Browser/Platform development
patterns Git, Git Flow MVVM Architecture Dependency injection - Hilt / Koin / Dagger 2 is beneficial Retrofit
Compulsory knowledge or experience with AI and/or Machine learning Knowledge of cloud computing using docker
Compulsory knowledge or experience with AI and/or Machine learning Knowledge of cloud computing using docker
performance and load testing using industry standard tools, fit for purpose. Integrate automation testing at continuous quality analysis and provide internal tools to help ensure that quality of the products we ship develop the testing infrastructure i.e. testing tools, test frameworks, test reporting mechanisms to test continuous deployment systems to ensure all of the tools, services developed are accurately tested and meet quality goals. Stay knowledgeable of new testing tools and strategies and evaluate the technologies to
Platform or related areas. Experience with AI and machine learning integration within Power Platform solutions
Manage various systems including Tonello washing machines, CCTV/security systems, payroll systems, etc.
experience of 3 years Proficiency in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS SAS, SQL, Python, Rand data visualization tools Google Looker. Strong analytical and problem-solving in Microsoft Excel and other data manipulation tools. Familiarity with data governance principles and standardized reporting templates and data visualization tools. Present findings in a clear and concise manner
and execute upgrades of existing applications, tools, and features. Configure DAM software according functionality and performance tests. Operate DAM Tool in a 24 x 7 manner, ensuring high availability and ongoing tasks and activities related to the DAM Tool. Build a cloud solution for Database Activity Monitoring Knowledge of data modeling and data visualization tools. Cloud Experience, familiarity with cloud platforms