3. ai EngineerLIFEWOOD DATA TECHNOLOGY
Salary: Agreement
Work form: Full time
Posting Date: 08/11/2025
Deadline: 24/12/2020
Job Description
Develop an AI solution or component
Prepare training materials for AI team, conduct the training and mentor
Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution
Requirements
Degree in machine learning, statistics, AI, computer science and other relevant equivalent quantitative fields.
Experience with building data models from scratch and integrating them into production
Experience in developing AI/Machine learning solutions that are deployed in a production setting.
Experience in Python based AI/Machine learning frameworks and tool chains such as Scikit learn, Keras, Tensorflow, Pytorch, Spacy and Anaconda.
Experience with development environments and tools such as SQL, Git, Linux and Docker.
Experience with developing custom visualizations by analysing & interpreting data using best open source technologies
Previous experience in deploying end-to-end AI/ML solutions will be advantageous.
Familiarity with data visualization and statistical data modelling (i.e. QlikView, Power BI, Cognos, SAP Business Objects, R or Python stat packages, SPARK R would be an advantage)
Develop an AI solution or component
Prepare training materials for AI team, conduct the training and mentor
Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution
Requirements
Degree in machine learning, statistics, AI, computer science and other relevant equivalent quantitative fields.
Experience with building data models from scratch and integrating them into production
Experience in developing AI/Machine learning solutions that are deployed in a production setting.
Experience in Python based AI/Machine learning frameworks and tool chains such as Scikit learn, Keras, Tensorflow, Pytorch, Spacy and Anaconda.
Experience with development environments and tools such as SQL, Git, Linux and Docker.
Experience with developing custom visualizations by analysing & interpreting data using best open source technologies
Previous experience in deploying end-to-end AI/ML solutions will be advantageous.
Familiarity with data visualization and statistical data modelling (i.e. QlikView, Power BI, Cognos, SAP Business Objects, R or Python stat packages, SPARK R would be an advantage)
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LIFEWOOD DATA TECHNOLOGY
About the company
LIFEWOOD DATA TECHNOLOGY jobs
Central Visayas
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